adult nurse practitioner or physician assistant

data engineer

data scientist

advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai data engineer

BetterUp

<div>
 
 Let&rsquo;s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship.
 
 
 
 We do. We can&rsquo;t cram it all in here, but you&rsquo;ll start noticing it from the first interview.
 
 
 Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you&rsquo;ve ever met, and most importantly, work that matters.
 
 
 
 Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture.
 
 
 
 If that sounds exciting&mdash;and the job description below feels like a fit&mdash;we really should start talking.
 
 
 
 We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying.
 
 
 
 
 The Opportunity
 
 
 
 BetterUp&rsquo;s GTM Data &amp; Operations team is investing in the infrastructure, intelligence, and automation that powers our go-to-market engine. As an AI / Data Engineer (P3), you will sit at the intersection of data engineering and applied AI&mdash;building the pipelines, models, and systems that help our Sales, Marketing, and Customer Success teams move faster, make smarter decisions, and drive measurable business impact. This is a high-impact role for someone who thrives when technology and strategy meet.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Data Engineering &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines that serve clean, reliable data across the GTM stack.
 </li>
 <li>
 Own and evolve our data warehouse architecture (Snowflake) to support GTM analytics, reporting, and AI workloads.
 </li>
 <li>
 Establish and enforce data quality standards, documentation practices, and governance frameworks to ensure trustworthy data at scale.
 </li>
 <li>
 Develop and maintain dbt models, SQL transformations, and Python scripts that power self-serve reporting and downstream analysis.
 </li>
 <li>
 Define and track key GTM metrics, ensuring consistent definitions and reliable data pipelines that support executive and board-level reporting.
 
 
 </li>
 </ul>
 
 Applied AI for GTM
 
 
 
 <ul>
 <li>
 Develop and deploy AI tools for high-impact GTM use cases including lead scoring, pipeline forecasting, churn prediction, and customer segmentation.
 </li>
 <li>
 Partner with Sales, Marketing, and RevOps stakeholders to identify where AI can automate workflows, surface insights, and unlock new capacity.
 </li>
 <li>
 Integrate LLMs and generative AI tooling into GTM systems to streamline operations and accelerate decision-making.
 </li>
 <li>
 Measure and iterate on created systems, translating outputs into actionable tools that are accessible to non-technical stakeholders.
 </li>
 <li>
 Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
 </li>
 <li>
 Coach teammates through AI adoption, helping them build new capabilities and overcome resistance to change.
 
 
 </li>
 </ul>
 
 If You Have Some or All of the Following, Please Apply
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in data engineering, analytics engineering, GTM engineering or applied AI roles.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Experience building and maintaining data pipelines, reverse ETL workflows and working with modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
 </li>
 <li>
 Familiarity with agentic coding tools (Claude Code, Cursor, etc.).
 </li>
 <li>
 Familiarity with GTM tools and ecosystems (Salesforce, Hubspot, Clay, etc.).
 </li>
 <li>
 Demonstrated ability to build and deploy models (lead scoring, forecasting, classification) in a business context.
 </li>
 <li>
 Experience integrating data and AI into CRM and/or marketing automation platforms (Salesforce, HubSpot, Marketo, etc.).
 </li>
 <li>
 Familiarity with BI tools such as Looker or Hex for dashboard development and self-serve analytics.
 </li>
 <li>
 Familiarity with software engineering principles and tools (version control, CI/CD, testing, code review, Github etc.)
 </li>
 <li>
 Systems-level thinking with the ability to trace data and logic across multiple platforms (e.g., HubSpot &rarr; Salesforce &rarr; Snowflake &rarr; BI layer) and understand how changes in one system ripple across the stack.
 </li>
 <li>
 Strong communication skills with the ability to translate complex technical work into business impact.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field&mdash;or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Prior experience in a Revenue Operations or GTM Analytics function at a B2B SaaS company.
 </li>
 <li>
 Hands-on experience building with LLMs or deploying generative AI solutions in a production environment.
 </li>
 <li>
 Hands-on experience with decoupled or "headless" semantic layers (Cube, Snowflake Cortex etc.)
 </li>
 <li>
 Track record of working in a high-growth startup or scale-up environment where priorities evolve quickly.
 </li>
 <li>
 Hands-on experience with dbt for data transformation.
 
 
 </li>
 </ul>
 
 AI at BetterUp
 
 
 
 Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We&rsquo;re looking for teammates who are excited to evolve alongside technology&mdash;people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work.
 
 
 
 As an AI / Data Engineer, you will be expected to:
 
 
 
 <ul>
 <li>
 Lead cross-functional efforts to integrate AI into core GTM workflows, ensuring adoption across direct and neighboring teams.
 </li>
 <li>
 Set measurable AI improvement objectives based on functional strategy with minimal manager direction.
 </li>
 <li>
 Ensure failed AI experiments generate documented learnings that inform future decisions and prevent rework.
 </li>
 <li>
 Make decisions about AI processes and tools that impact your direct team, neighboring teams, and cross-functional partners.
 </li>
 <li>
 Re-architect team processes to incorporate AI at scale&mdash;automated reporting, intelligent workflow routing, systems building.
 
 
 </li>
 </ul>
 
 During our interview process, you&rsquo;ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. We encourage all candidates to share examples of how they&rsquo;ve used AI tools in their work.
 
 
 
 
 Benefits
 
 
 
 At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community.
 
 
 <ul>
 <li>
 Access to BetterUp coaching; one for you and one for a friend or family member
 </li>
 <li>
 A competitive compensation plan with opportunity for advancement
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Flexible paid time off
 </li>
 <li>
 All federal/statutory holidays observed
 </li>
 <li>
 4 BetterUp Inner Work Days
 </li>
 <li>
 5 Volunteer Days to give back
 </li>
 <li>
 Learning and Development stipend
 </li>
 <li>
 Company wide Summer &amp; Winter breaks
 </li>
 <li>
 Year-round charitable contribution of your choice on behalf of BetterUp
 </li>
 <li>
 401(k) self contribution
 
 
 </li>
 </ul>
 
 We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don&rsquo;t hesitate to reach out&mdash;we encourage everyone interested in joining us to apply.
 
 
 
 BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
 
 
 At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future.
 
 
 
 Base Salary Range For This Role Is
 
 
 
 $133,000- $185,000
 
 
 
 We value your privacy. Your personal data will be processed in accordance with our
 
 
 Privacy Policy
 
 
 . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to
 
 
 support@betterup.co
 
 
 
</div>

AI Data Engineer

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.<h1 class="jobSectionHeader">
The Opportunity</h1>
We are building something unprecedented &mdash; an AI foundation that will push the frontier on what is possible today across drug discovery research, from target identification and disease biology through translational science.
The Applied Intelligence for Discovery (AI4D) team is a newly formed group within Lilly Research Laboratories that operates at the intersection of scientific delivery and core platform development. AI4D&rsquo;s mission is connecting scientists to petabyte-scale data through natural language interfaces, automated analysis workflows, and intelligent search &mdash; and to convert early deployments into repeatable system standards and evaluation practices that scale across therapeutic areas.
As a Scientific Data Engineer, you will close that gap. You will build the semantic layer, data harmonization infrastructure, AI-ready data products, and lakehouse architecture that bridge how data is stored and how AI systems need to consume it. You will be working at the intersection of the data infrastructure team and the generative AI engineers who build the systems scientists interact with.<h1 class="jobSectionHeader">
Responsibilities</h1><h2 class="jobSectionHeader">
Data Harmonization and Lakehouse Architecture</h2><ul><li>
Design and build the data architecture that transforms raw and processed omics data into harmonized, AI-consumable layers</li><li>
Build and optimize ETL/ELT pipelines that produce denormalized views, pre-computed aggregations, embedding-ready text representations, and feature stores optimized for AI system consumption</li><li>
Implement data quality monitoring, automated profiling, and validation checks across harmonization layers</li><li>
Create versioned, reproducible data snapshots that support model training, evaluation, and audit requirements in a regulated environment</li><li>
Partner with the teams to extend harmonization patterns as data modalities expand beyond genomics and proteomics into spatial transcriptomics, perturbational data (Perturb-Seq), single-cell, and digital pathology</li></ul><h2 class="jobSectionHeader">
Semantic Layer and Schema Engineering</h2><ul><li>
Design and maintain a semantic layer over Lilly&rsquo;s multi-omics databases that enables AI systems</li><li>
Create comprehensive schema documentation: table descriptions, column-level annotations, relationship mappings, business logic rules, and domain-specific constraints (e.g., statistical thresholds, unit conventions, experimental design metadata)</li><li>
Develop gold-standard question/SQL pairs for each major database, in collaboration with computational biologists and Generative AI Engineers, to serve as training data, few-shot examples, and evaluation benchmarks</li><li>
Build and maintain a data dictionary and ontology mapping layer that translates how scientists think and speak about data (gene names, pathway terms, assay types) into how the data is physically stored</li></ul><h2 class="jobSectionHeader">
AI-Ready Data Products</h2><ul><li>
Build and manage vector embedding pipelines for scientific documents, study metadata, and structured data descriptions to power RAG-based retrieval</li><li>
Build integration pipelines that connect heterogeneous data sources &mdash; omics databases, internal publications, electronic lab notebooks, assay results, and clinical annotations &mdash; into a unified, queryable layer</li><li>
Develop and enforce metadata standards that ensure new data sources are AI-accessible from the point of ingestion, not retroactively</li><li>
Design data products that serve multiple consumption patterns: direct SQL access for computational biologists, structured feeds for ML training pipelines, and semantic interfaces for LLM-powered tools</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
Bachelors degree in Computer Science, Data Engineering, Bioinformatics, or a related field + 8 years data engineering experience OR Masters degree and 5 years data engineering experience</li><li>
Demonstrated expertise in building data pipelines, ETL/ELT workflows, and data products that serve downstream AI/ML systems</li></ul><h1 class="jobSectionHeader">
Additional Skills/Preferences</h1><ul><li>
Phd in data or related field</li><li>
Strong SQL skills and experience with complex relational database schemas (hundreds of tables, multi-level joins, domain-specific conventions)</li><li>
Experience with modern data platform technologies, including at least one of: Databricks, Snowflake, or equivalent lakehouse platforms</li><li>
Experience with modern data engineering tools: dbt, Spark, Airflow, or similar orchestration and transformation frameworks</li><li>
Proficiency in Python for data processing, scripting, and pipeline development</li><li>
Experience with cloud data platforms (AWS preferred: Redshift, Athena, Glue, S3, or similar)</li><li>
Familiarity with at least one of: vector databases, embedding pipelines, or semantic layer tooling</li><li>
Strong communication skills &mdash; you can work effectively with both engineers who think in schemas and scientists who think in biology</li><li>
Experience with biomedical or scientific data: omics datasets (RNA-seq, proteomics, GWAS), clinical data, or laboratory information management systems</li><li>
Experience in pharmaceutical, biotech, or life sciences environments</li></ul><ul><li>
Familiarity with biomedical ontologies and controlled vocabularies (Gene Ontology, MeSH, ChEBI, HGNC) and their application to data integration</li><li>
Experience building data products that serve AI/ML systems &mdash; feature stores, training datasets, evaluation benchmarks, or semantic annotations for text-to-SQL</li><li>
Knowledge of data governance practices in regulated industries: data lineage, access controls, versioning, and auditability</li><li>
Experience with knowledge graph technologies (Neo4j, Amazon Neptune, RDF/SPARQL) or graph-based data modeling</li><li>
Deep experience with Databricks ecosystem: Unity Catalog for data governance, Delta Lake for ACID transactions, MLflow integration, and Databricks SQL for analytics workloads</li><li>
Experience designing data architectures that bridge traditional bioinformatics workflows (Nextflow, R/Bioconductor) with modern lakehouse consumption patterns</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$166,500 - $266,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Advisor - Scientific Data Engineer

Motional

<div>Mission Summary:

We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! 

What You'll Be Doing:
<ul>
<li>Cross-functional Collaboration:</li>
<li><ul><li>Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly.</li>
Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. 
<li>
</li>
</ul></li><li>Development:</li>
<li><ul><li>Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company.</li>
<li>Mentor junior engineers and peers on best practices and adoption strategies</li> 
</ul></li>
</ul>What We're Looking For
<ul>
<li>Experience:</li>
<li><ul><li>BS or MS in Computer Science or related field</li>
<li>4+ years of professional experience in building web applications</li>
Extensive experience with building web applications for search and data curation needs. 
<li>
</li>
</ul></li><li>Technical Skills:</li>
<li><ul><li>Strong programming skills in Typescript and Python.</li>
<li>Strong knowledge of modern frontend technologies such React.</li>
<li>Strong knowledge of building REST and gRPC based services, ideally in Python.</li>
<li>Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform</li> 
</ul></li>
</ul>Bonus Points (not required):
<ul>
<li>Prior experience in autonomous vehicles (AV) is a plus.</li>
<li>Prior experience with Bazel based build systems.</li> 
</ul>
We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.<div>
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.
Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.</div></div>

Senior Software Engineer - AI Data Applications

Crossing Hurdles

<div>
 
 Crossing Hurdles is a global recruitment firm partnering with leading US-based startups. We are hiring for a
 
 rapidly growing frontier AI infrastructure company
 
 backed by top-tier venture investors and building core systems for the next generation of AI agents. The company is well-capitalized, growing quickly, and building a highly technical team in
 
 San Francisco
 
 to work on some of the most challenging problems in reinforcement learning and AI infrastructure.
 
 
 
 
 
 
 Role Snapshot:
 
 
 
 
 Role:
 
 Member of Technical Staff
 
 
 
 Compensation:
 
 $160K &ndash; $600K + Competitive Equity
 
 
 
 Location:
 
 San Francisco, US | In-person (6 days/week)
 
 
 
 YOE:
 
 0+ years of experience in full-stack or infrastructure engineering, particularly in low-level systems or as a founding engineer
 
 
 
 Benefits:
 
 Competitive Equity + Visa Sponsorship (evaluated case-by-case)
 
 
 
 
 
 
 Why should you consider?
 
 
 <ul>
 <li>
 Work on reinforcement learning environments and infrastructure powering next-generation AI agents.
 </li>
 <li>
 Collaborate with a highly technical team solving complex systems and AI research problems.
 </li>
 <li>
 Build realistic simulation environments, data systems, and tasks for advanced AI training.
 </li>
 <li>
 High ownership in a fast-growing startup backed by top-tier investors.
 </li>
 <li>
 Operate at the frontier of AI development with meaningful real-world impact.
 </li>
 </ul>
</div>

Full Stack Software Engineer

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.
 
 
 In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We&rsquo;ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About Handshake AI
 
 
 
 Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Software Engineer
 
 to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
 
 
 This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and scale core components of RLE environments and infrastructure
 </li>
 <li>
 Design and implement backend systems and data pipelines
 </li>
 <li>
 Translate ambiguous product and research needs into production systems
 </li>
 <li>
 Develop modular, reusable workflow domains
 </li>
 <li>
 Improve reliability, observability, and system performance
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 2&ndash;4 years of experience in backend, distributed systems, or ML-adjacent infrastructure
 </li>
 <li>
 Strong proficiency in ReactJS and TypeScript
 </li>
 <li>
 Solid experience with relational databases (PostgreSQL) and data modeling
 </li>
 <li>
 Experience with cloud infrastructure (AWS/GCP) and CI/CD
 </li>
 <li>
 Ability to independently drive projects from design to production
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with simulation systems or evaluation platforms
 </li>
 <li>
 Exposure to ML systems or working with research teams
 </li>
 <li>
 Experience in fast-moving, operations-heavy environments
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Owns and delivers key RLE components end-to-end
 </li>
 <li>
 Improves system scalability and developer velocity
 </li>
 <li>
 Enables faster launch of new domains with high-quality data
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯 Ownership: Equity in a fast-growing company
 
 
 💰 Financial Wellness: 401(k) match, competitive compensation, financial coaching
 
 
 🍼 Family Support: Paid parental leave, fertility benefits, parental coaching
 
 
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚 Growth: $2,000 learning stipend, ongoing development
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $157.5K - $175K
 
 
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Software Engineer I, RLE

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

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