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advisor scientific data engineer

Wells Fargo

<div><p><b>About this role:</b></p><p>
Wells Fargo is seeking a Principal Engineer to join our AI Platforms and Enterprise Execution Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com.</p><p></p><p>
This role focuses on designing and delivering enterprise‑scale strategic initiatives in reusable AI patterns that deliver business and customer value.</p><p></p><p>
This is a hands‑on Principal Engineer role for a technical leader who designs, builds, and scales AI‑driven platforms, while operating at enterprise scope. The Principal Engineer serves as a technical authority who codes, prototypes, and reviews architecture, not just oversees execution</p><p><b><br>
In this role, you will:</b></p><ul><li>
Act as a trusted advisor to leadership, guiding the development and influence of applications, networks, information security, databases, operating systems, web technologies, and emerging AI capabilities to address highly complex business and technical needs across multiple groups</li><li>
Lead the strategy and resolution of highly complex, unique challenges through end‑to‑end solution design, including Generative and Agentic AI systems, cloud‑native platforms, and legacy modernization efforts that require long‑term vision, creativity, innovation, and advanced analytical thinking</li><li>
Translate advanced technology expertise, deep understanding of enterprise business objectives, organizational structure, and the broader technology ecosystem into scalable engineering solutions, such as reusable architectures, AI-enabled platforms, and production‑ready systems</li><li>
Provide vision, direction, and technical leadership to senior leaders on implementing innovative business solutions, embedding AI and automation into product delivery workflows, decision support, and developer productivity while ensuring alignment with security, compliance, and responsible AI standards</li><li>
Maintain deep awareness of industry best practices, emerging technologies, and AI advancements, proactively recommending innovations that modernize operations, improve efficiency and quality, and create competitive advantage for the organization</li><li>
Strategically engage with professionals and managers at all levels of the enterprise, serving as an expert technical advisor and escalation point for complex platform, data, and AI decisions while mobilizing and guiding large‑scale, cross‑organizational initiatives and communicating progress to executive leadership</li></ul><p></p><p><b><br>
Required Qualifications:</b></p><ul><li>
7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
7+ years of senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems</li><li>
4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication</li><li>
3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon</li><li>
3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling</li></ul><p></p><p><b>
Desired Qualifications:</b></p><ul><li>
Experience working within agile product operating models in large enterprise environments, including agile software delivery and cloud infrastructure</li><li>
Financial services experience preferred; Business Banking domain experience is beneficial but not required</li><li>
Demonstrated ability to mentor senior and staff engineers, raising the technical bar of the organization</li><li>
Proven strategic thinking, analytical problem‑solving, and sound technical judgment in fast‑paced settings</li><li>
Proven experience with cloud infrastructure and containerization, including enterprise compute, storage, and IaaS environments</li><li>
Demonstrated curiosity and innovation mindset for advancing Generative and Agentic AI solutions within regulated enterprise contexts</li><li>
Strong organizational savvy and customer centricity, with the ability to navigate complex enterprise structures and align technology to business outcomes</li></ul><p><b><br>
Job Expectations:</b></p><ul><li>
Ability to travel as needed
</li><li>This position offers a hybrid work schedule</li><li>
This position is not eligible for Visa sponsorship</li></ul><p></p><p><b>
Job Location</b>:</p><p>
333 Market St - San Francisco, California 94105</p><p>
300 S. Brevard - Charlotte, North Carolina 28202</p><p>
2600 S Price Rd - Chandler, Arizona 85286</p><p></p><p><b>
Pay Range</b></p><p><br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.</p>
$159,000.00 - $305,000.00<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Benefits
</b></p><p></p><p>Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.</p><ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Posting End Date:</b></p><p></p>
12 Jul 2026<ul><li><b><i>Job posting may come down early due to volume of applicants.</i></b></li></ul><p></p><p><b>
We Value Equal Opportunity</b></p><p></p><p>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.</p><p></p><p>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.</p><p></p><p><b>
Applicants with Disabilities</b></p><p></p><p>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.</p><p></p><p><b>
Drug and Alcohol Policy</b></p><p></p><p><br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.</p><p></p><p><b>
Wells Fargo Recruitment and Hiring Requirements:</b></p><p></p><p>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.</p><p>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</p></div><p></p>

Principal AI Engineer

Sift

<div>
 <strong>
  About Sift
  <br/>
  <br/>
 </strong>
 Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission-critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
 <br/>
 <br/>
 Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
 <br/>
 <br/>
 <strong>
  In This Role, You'll
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain full stack features across our web application and data processing backend for complex telemetry data
  </li>
  <li>
   Create intuitive user interfaces for data exploration while optimizing for large real-time datasets
  </li>
  <li>
   Implement efficient APIs and data access patterns for real-time data streaming
  </li>
  <li>
   Collaborate with data platform and frontend teams on service design and implementation
  </li>
  <li>
   Write clean, maintainable code and participate in technical design discussions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Skillset You'll Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of professional experience in full-stack software development
  </li>
  <li>
   Experience building production applications with technologies like React, NextJS, TypeScript, Go, Rust, and Python
  </li>
  <li>
   Familiarity with relational and non-relational databases, e.g. PostgreSQL, Druid, Pinot, Timescale, or similar
  </li>
  <li>
   Strong problem-solving skills and attention to detail
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with technical visualization tools (WebGL, D3.js, Apache ECharts) and time-series data
  </li>
  <li>
   Knowledge of WebAssembly and browser-based computation
  </li>
  <li>
   Background in scientific computing or technical data visualization
  </li>
  <li>
   Experience building tools for technical users (dashboards, data-editing environments)
  </li>
  <li>
   Built and launched side projects with consistent usage traffic
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Engineering At SIFT
  <br/>
  <br/>
 </strong>
 You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product. Relevant technologies include:
 <br/>
 <br/>
 <ul>
  <li>
   Web frontend &amp; backend: ECharts, Go, gRPC, PostgreSQL, Protobuf, Radix, React, Redux, and TypeScript
  </li>
  <li>
   Data: Arrow, DataFusion, Flink, Parquet, and Rust
  </li>
  <li>
   Infrastructure: Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 Sift&rsquo;s headquarters is in
 <strong>
  Marina Del Rey, CA
 </strong>
 (Next to LAX). We collaborate
 <strong>
  in person
 </strong>
 twice a week&mdash;on
 <strong>
  Mondays and Thursdays
 </strong>
 &mdash;and come together for a full week every two months. We are open to
 <strong>
  relocating candidates to LA
 </strong>
 or
 <strong>
  working from our San Francisco
 </strong>
 office for the right candidate.
 <br/>
 <br/>
 Salary range: $150,000 - $200,000 per year. Plus equity and benefits.
 <br/>
 <br/>
 <strong>
  Eligibility
  <br/>
  <br/>
 </strong>
 <strong>
  U.S. Person Required
 </strong>
 : Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.
</div>


Software Engineer, Full Stack

Alembic Pharmaceuticals Ltd

<p></p><div><p><b>About Us</b></p><p>
Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes &mdash; the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.</p><p>
We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure &mdash; one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)</p><p><b>
About the Role</b></p><p>
We're looking for a lead-level Security Engineer and Architect to own system, network, and host security end-to-end for a rapidly growing on-prem, Kubernetes-based AI factory. This is a hands-on, high-impact role reporting directly to our CTO/CISO and working side-by-side with Technical Operations, Corp IT, Platform Engineering, and our scientific teams. It's not a compliance seat that exists to satisfy published controls &mdash; it's the chance to shape our security posture from the ground up, secure high-value client data, and build the team and tooling to do it.</p><p>
Two things make this role distinctive. First, Alembic is &quot;Default to Open&quot; by design: security here must respect that maximum information sharing is basic to how we operate, while still protecting customer data and the IP &mdash; patents and trade secrets &mdash; our applied-science work generates. Balancing those is the core intellectual challenge of the job. Second, we're an AI-first company that uses many kinds of AI across everything we do; deciding which AIs operate in which containers is one of the more interesting problems you'll own.</p><p><b>
What You'll Do</b></p><ul><li><p>
Design and implement security controls across all environments &mdash; network segmentation and firewalling, IDS/IPS, and traffic analysis on our on-prem Kubernetes platform.</p></li><li><p>
Build and enforce host security: EDR, kernel telemetry, hardening, and baseline implementation across the fleet.</p></li><li><p>
Own identity and access &mdash; AuthN/AuthZ, RBAC, and service identity &mdash; grounded in OIDC, SAML, and mTLS.</p></li><li><p>
Stand up incident-detection pipelines (SIEM, metrics, endpoint telemetry) tuned to surface high-signal threats over noise, and lead incident response end to end: triage, containment, recovery, root-cause analysis, and forensics.</p></li><li><p>
Keep the focus on enablement over restriction &mdash; effective security, not compliance for its own sake &mdash; while balancing IP protection, customer-data protection, and broad internal information sharing.</p></li><li><p>
Partner with Legal and the CISO to obtain the compliance certifications we need and to answer customer questions about the security of our systems; hire and mentor as the security function grows.</p></li></ul><p><b>
What Will Help You Succeed</b></p><ul><li><p>
8+ years in security engineering, infrastructure, or related roles.</p></li><li><p>
Strong Linux system security and networking (SSH certificates, directory-based authentication) and strong Kubernetes security (RBAC, tenant isolation, admission control).</p></li><li><p>
Real experience securing on-prem environments, not only public cloud.</p></li><li><p>
A proven track record leading real-world incidents, with familiarity with attacker techniques (lateral movement, persistence, exfiltration) and hands-on depth in EDR, IDS/IPS, and SIEM.</p></li><li><p>
Strong command of OIDC, SAML, mTLS, and cryptography-based storage security.</p></li><li><p>
Comfort writing code, automation, and tooling in Python or similar, plus configuration management via IaC (Terraform, Ansible).</p></li><li><p>
The judgment to distinguish high-signal threats from noise, make pragmatic tradeoffs in a fast-moving company, and communicate effectively with technical stakeholders.</p></li></ul><p>
Nice to have: high-performance or distributed-compute experience (HPC, GPU clusters); identity-aware proxies or zero-trust architectures; offensive security (red teaming, exploit development); secure application development and secure-code training; responsible-disclosure/bug-bounty programs; AI controls, MCP security, agent security, and AI governance; and a background in corporate IT security.</p><p><b>
The role is right for you if:</b></p><ul><li><p>
You want to shape a security posture from first principles rather than administer someone else's control framework &mdash; and you see &quot;Default to Open&quot; as a design constraint worth solving, not a threat to route around.</p></li><li><p>
You'd rather be in the terminal doing root-cause analysis and building detection pipelines than managing them from a slide deck, and you want to build the team around you as scope grows.</p></li></ul><p><b>
Why You Might Be Excited About Alembic</b></p><ul><li><p><b>
Hard problems with real impact:</b> You'll secure a one-of-a-kind on-prem AI factory and protect the high-value data behind multimillion-dollar decisions at Fortune 100 companies.</p></li><li><p><b>
Technical autonomy:</b> Direct access to the CTO/CISO and decision-makers, ownership over the security architecture, and the freedom to solve problems your way.</p></li><li><p><b>
Cutting-edge environment:</b> Secure our own NVIDIA DGX SuperPOD on Grace Blackwell &mdash; one of the fastest private supercomputers in the world &mdash; and take on genuinely novel work in AI, agent, and MCP security.</p></li><li><p><b>
Elite team:</b> Join top engineers and scientists who thrive on hard problems, and build the security team from a front-row seat in the culture.</p></li><li><p><b>
Series B momentum, real ownership:</b> Meaningful equity at a Series B company that's raised $145M, with proven product-market fit and Fortune 100 traction.</p></li></ul><p><b>
Why You Might Not Be Excited</b></p><ul><li><p>
You want a compliance-first role focused on satisfying published controls &mdash; this job is about effective security and enablement, and treats certifications as a byproduct, not the point.</p></li><li><p>
You need a fully built-out program, tooling, and process to step into, rather than the mandate to define them.</p></li><li><p>
You're uncomfortable with &quot;Default to Open&quot; &mdash; if your instinct is to lock everything down by default, the constant balance of IP protection, customer-data protection, and broad internal sharing will feel like friction rather than the interesting part.</p></li><li><p>
You prefer static over dynamic &mdash; priorities and scope shift as we grow. We have real paying customers and a playbook, and we still move at startup speed at Series B scale.</p></li></ul><p></p><p>
Compensation Range: $210K - $240K</p></div>

Lead Security Engineer

Vir Biotechnology

<p></p><div><div><p>Vir Biotechnology, Inc. is a clinical-stage biopharmaceutical company focused on powering the immune system to transform lives by discovering and developing medicines for serious infectious diseases and cancer. Its clinical-stage portfolio includes programs for chronic hepatitis delta and multiple PRO-XTEN&reg; dual-masked T-cell engagers across validated targets in solid tumor indications. Vir Biotechnology also has a preclinical portfolio of programs across a range of infectious diseases and oncologic malignancies.</p>
<p>
Vir Biotechnology has exclusive rights to the universal PRO-XTEN&reg; masking platform for oncology and infectious disease. PRO-XTEN&reg; is a trademark of Amunix Pharmaceuticals, Inc., a Sanofi company.</p>
<p>
We believe the success of our colleagues drives the success of our mission. We are committed to creating a company where everyone feels supported and encouraged to give their best.</p>
</div><p></p><div>
<h3 class="jobSectionHeader"><b>THE OPPORTUNITY</b></h3>
<p>
Vir Biotechnology is looking for a Senior Talent Acquisition Recruiter to join our fast-paced HR team. In this role, you will own full-cycle recruitment for both technical/scientific and corporate functions and serve as a strategic partner to hiring managers across the company.</p>
<p>
This role is based at our San Francisco headquarters, with an expectation of at least three days per week in the office.</p>
<h3 class="jobSectionHeader"><b>
WHAT YOU'LL DO</b></h3>
<ul><li>Lead end-to-end recruiting for assigned roles: intake/strategy meetings, job postings, sourcing, screening, interview management, debriefs and offers</li>
<li>Partner closely with hiring managers and HR to define role requirements, craft accurate job descriptions, and build effective hiring strategies</li>
<li>Proactively identify, engage, and convert top active and passive candidates using a variety of sourcing channels</li>
<li>Manage all logistics and coordination for interviews, including scheduling, candidate communication, and follow-up</li>
<li>Ensure an excellent candidate and hiring manager experience through clear communication, responsiveness, and consistency</li>
<li>Maintain high data integrity and accurate tracking in the Applicant Tracking System and related tools</li>
</ul></div><div><h3 class="jobSectionHeader"><b>WHO YOU ARE AND WHAT YOU BRING</b></h3>
<ul><li>Bachelor's degree and 8+ years of progressive recruiting experience, including at least 5 years in talent acquisition within a fast-paced biotechnology or biopharmaceutical environment required</li>
<li>Demonstrated success managing full-cycle recruitment across both technical (e.g., R&amp;D, CMC, scientific/technical roles) and corporate functions</li>
<li>Proven experience advising and influencing managers and leaders on recruiting strategy, candidate selection, and market dynamics</li>
<li>Strong sourcing skills with a track record of engaging passive talent</li>
<li>Excellent communication, stakeholder management, and organizational skills, with the ability to manage multiple searches simultaneously</li>
<li>Comfortable handling both strategic recruiting work and hands-on administrative tasks (scheduling, coordination, ATS updates)</li>
<li>Prior experience with Greenhouse preferred</li>
</ul></div><div><div>#LI-AS1</div>
<div>#LI-Onsite</div>
<div><h3 class="jobSectionHeader"><b>WHO WE ARE AND WHAT WE OFFER</b></h3>
<p>
The expected Hourly rate for this position is $58 to $81. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors.</p>
</div>
</div><div><div><div><div><p>Applicants must currently be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</p>
<p>
All employment decisions at Vir Biotechnology are based on legitimate, non-discriminatory business requirements, job duties and individual qualifications. Employment decisions are made without regard to any legally protected characteristics.</p>
<p>
This commitment extends to all management practices and decisions, including recruitment and hiring, compensation, appraisal systems, promotions, training and career development programs. Vir Biotechnology also strongly commits to providing employees with a work environment free of unlawful conduct or harassment.</p>
<p>
Vir Biotechnology Human Resources leads recruitment and employment for Vir Biotechnology. Unsolicited resumes sent to the company from recruiters do not constitute any type of relationship between the recruiter and Vir Biotechnology and do not obligate us to pay fees should we hire from those resumes. We ask that external recruiters and/or agencies not contact or present candidates directly to our hiring manager or employees.</p>
<p>
For hires based in the United States, Vir Biotechnology, participates in E-Verify.</p>
<p>
Candidate Privacy Notice</p></div></div></div></div></div><p></p>

Talent Acquisition Recruiter (Temporary)

Lila Sciences

<div>
 <strong>
  Your Impact at LILA
  <br/>
  <br/>
 </strong>
 As a Recruiting Coordinator at Lila Sciences, you will drive the operational infrastructure behind our recruiting function, ensuring interview logistics run seamlessly across all departments, including leadership-level searches. Reporting to the Manager of Talent Operations, you will go beyond day-to-day coordination to identify process improvements, build scalable workflows, and serve as a trusted operational partner to recruiters, hiring managers, and the Director of Talent Acquisition. This is a highly visible, in-person role based in San Francisco that requires strong organizational judgment, proactive communication, and the ability to manage complexity across a fast-growing, multi-site organization.
 <br/>
 <br/>
 <strong>
  What You'll Be Building
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own end-to-end interview scheduling across all departments, including complex multi-site loops spanning multiple time zones and last-minute changes
  </li>
  <li>
   Design and maintain scalable scheduling workflows and coordination processes that improve efficiency as hiring volume grows
  </li>
  <li>
   Serve as the primary point of contact for candidates throughout the interview process, delivering a consistent, high-touch experience
  </li>
  <li>
   Coordinate onsite interview logistics including candidate hosting, office tours, and cross-functional collaboration with Facilities
  </li>
  <li>
   Maintain data integrity across Greenhouse and Outlook, ensuring requisitions, pipelines, and interview records are accurate and current
  </li>
  <li>
   Identify inefficiencies in recruiting operations and propose solutions that improve speed, candidate experience, and team capacity
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need To Succeed
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience in recruiting coordination, talent operations, or a related operational role, ideally in a fast-growing tech or research environment
  </li>
  <li>
   Hands-on experience with Greenhouse or a similar ATS, including job postings, pipeline management, and reporting
  </li>
  <li>
   Demonstrated ability to manage competing priorities across multiple stakeholders without things falling through the cracks
  </li>
  <li>
   Clear, professional communication with a candidate-first mindset
  </li>
  <li>
   Proven track record of identifying workflow improvements and implementing process changes
  </li>
  <li>
   Self-starter who can build structure, solve problems independently, and stay effective when priorities shift
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience managing complex calendars across time zones in Microsoft Outlook or similar tools
  </li>
  <li>
   Familiarity with structured interview processes, panel coordination, and debrief scheduling
  </li>
  <li>
   Prior experience supporting executive or leadership-level hiring
  </li>
  <li>
   Comfort working onsite up to 5 days a week at our San Francisco location
  </li>
  <li>
   Genuine interest in operational excellence and improving how recruiting teams work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About LILA
  <br/>
  <br/>
 </strong>
 Lila Sciences is building Scientific Superintelligence&trade; to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
 <br/>
 <br/>
 LILA combines advanced AI models with proprietary AI Science Factory&trade; instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
 <br/>
 <br/>
 Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
 <br/>
 <br/>
 <strong>
  We&rsquo;re All In
  <br/>
  <br/>
 </strong>
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 <br/>
 <br/>
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 <br/>
 <br/>
 <strong>
  A Note to Agencies
  <br/>
  <br/>
 </strong>
 <em>
  Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 </em>
</div>


Contractor, Recruiting Coordinator

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>6/29/2026</p>
</div><div><p>Description</p>
<div>Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)<p><b>
Overview:</b></p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p></p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)<p><b>
Overview:</b></p><p>
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent &mdash; along with our deep experience in machine learning &mdash; position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p><b>
Team Description:</b></p><p>
The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.</p><p></p><p><b><br>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance &mdash; scalability, cost, latency, throughput &mdash; of large scale production AI systems.</li><li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><p><b>
The Ideal Candidate:</b></p><ul><li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>
At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>
Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>
Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br>
<p></p>
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br>
<p></p>
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
229,900.00 - 262,400.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Genentech

<div><div><h3 class="jobSectionHeader"><b>The Position</b></h3>
<p>NOTE: Qualified candidates for both South San Francisco, CA and Mississauga, Canada will be considered equally.</p>
<p></p><p>At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). PT Digital and Operational Excellence (PTE) is the organization that catalyzes the global development and execution of PT&rsquo;s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.</p>
<p></p><p>We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients.</p>
<p></p><h3 class="jobSectionHeader"><b>The Opportunity</b></h3>
<p></p><p>As a Senior Data Scientist and Statistician, you will play a critical role in advancing data science and statistical solutions across PT, with a special focus on <b>biologics development</b>. You will collaborate with scientists, engineers, business leaders, and fellow data scientists to design experiments, analyse data, and develop tools that generate insights, improve efficiency, and accelerate drug development.</p>
<p>Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT&rsquo;s success.</p>
<p></p><p><b>Main Responsibilities</b></p>
<ul><li><p>Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality control for biologics.</p>
</li><li><p>Partner with cross-functional teams to frame critical scientific and operational questions, translating business needs into analytical strategies.</p>
</li><li><p>Design and oversee studies to generate high-quality data for robust statistical analysis.</p>
</li><li><p>Apply advanced statistical methods, machine learning, and AI to interrogate complex datasets, driving actionable insights.</p>
</li><li><p>Interpret results and clearly communicate findings, influencing strategic and operational decisions.</p>
</li><li><p>Develop and maintain software tools, algorithms, and automated workflows for data integration, cleaning, and large-scale analysis across heterogeneous sources.</p>
</li><li><p>Build and sustain strong collaborations with internal and external stakeholders.</p>
</li><li><p>Design and deliver training in statistics and data science to upskill the organisation.</p>
</li><li><p>Stay current with emerging methods, regulatory guidance, and industry trends in statistics, data science, and drug development.</p>
</li><li><p>Mentor junior colleagues, guiding them in study design, statistical analysis, coding best practices, and modern data science approaches, building a collaborative and supportive learning environment.</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Who you are</b></h3>
<p></p><ul><li><p><b>Educational Qualification:</b> Master's or Ph.D. in Statistics, Biostatistics, data science, and relevant fields.</p>
</li><li><p><b>Expertise and Experience:</b> Extensive experience in designing experiments (DOE), analyzing complex datasets, combined with a deep understanding of pharmaceutical technical development, particularly biologics. Advanced proficiency in statistical methods and software (e.g., R, JMP), with a proven ability to lead DOE for process characterisation, optimisation, and validation.</p>
</li><li><p><b>Regulatory and Collaborative Skills: </b>Strong familiarity with regulatory guidelines (FDA, EMA), excellent collaborative skills for working in multidisciplinary teams, and outstanding communication skills for reporting and stakeholder liaison.</p>
</li><li><p><b>Problem-Solving and Project Management: </b>Strong analytical and problem-solving skills, ability to manage multiple projects, and high attention to detail to ensure accuracy and reliability.</p>
</li><li><p><b>Continuous Improvement and Learning: </b>Self-motivated, able to work independently and coaching junior colleagues in teams, keen on staying updated with new developments in statistics and data science, and passionate about continuous improvement and learning.</p>
</li></ul><p></p><p>Relocation benefits are not available for this posting.</p>
<p></p><p>The expected salary range for this position based on the primary location of South San Francisco, CA, is $156,200 to $290,200. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p>
<p><b>Benefits</b></p>
<p></p><p>#LI-PK1</p>
<p></p><p>Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p>
<p></p><p>If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p>
</div><p></p><div><h2 class="jobSectionHeader"><b>JOB FACTS</b></h2>
<div><div><ul><li><h3 class="jobSectionHeader"><b>Job Sub Category</b></h3>
<p>Computational Biology</p>
</li><li><h3 class="jobSectionHeader"><b>Schedule</b></h3>
<p>Full time</p>
</li><li><h3 class="jobSectionHeader"><b>Job Type</b></h3>
<p>Regular</p>
</li><li><h3 class="jobSectionHeader"><b>Posted Date</b></h3>
<p>Jun 30th 2026</p>
</li><li><h3 class="jobSectionHeader"><b>Job ID</b></h3>
<p>202606-116612</p></li></ul></div></div></div></div><p></p>

Senior Data Scientist

Explore 113+ Advisor scientific data engineer in San Francisco this July. Find roles across top companies and apply now to boost your career.