data analyst, growth - san francisco

data engineer

data platform & engineering intern Jobs in San Francisco

data platform & engineering intern

data scientist, marketing innovation Jobs in San Francisco

data scientist, marketing innovation

recruiter, ai/ml research Jobs in San Francisco

recruiter, ai/ml research

data scientist

OpenAI

Careers
 
Data Scientist, Marketing Innovation
 
Data Science - San Francisco
 
About the Role
 
We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.
 
We build product-like systems that: 
Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences
 
Adapt messaging, creative, and outreach using real-time behavioral signals
 
Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop
 
In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.
 
What You’ll Do
 
Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.
 
Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.
 
Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.
 
Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.
 
Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.
 
What We’re Looking For
 
10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.
 
Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.
 
Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.
 
Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).
 
Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.
 
Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.
 
Nice to Have
 
Familiarity with large language models and AI-assisted operations platforms
 
Experience working on operational automation and decision systems (routing, prioritization, optimization)
 
Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$293K – $325K + Offers Equity

Data Scientist, Marketing Innovation

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Plaud

<div>About Plaud Inc.
Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think. 
Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human&ndash;AI intelligence through a hardware&ndash;software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection. 
To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube 
Why You Should Join Us
Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.<ul><li>
Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.</li><li>
Define the next-gen paradigm for human-AI interaction.</li><li>
Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.</li><li>
Work with passionate teammates who value innovation, collaboration, and customer success.</li><li>
Grow your career in a culture that champions continuous learning and fast career development.</li><li>
Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.</li></ul>
What you will do<ul><li>
Monitor and analyze key growth metrics across acquisition, activation, engagement, and retention.</li><li>
Build and maintain dashboards and reports that provide clear visibility into growth performance. 
Support the design, analysis, and validation of growth experiments and initiatives.</li><li>
Identify drivers behind metric changes, anomalies, or performance dips, and communicate insights clearly.</li><li>
Collaborate closely with cross-regional analytics stakeholders to align methodologies, share context, and ensure analytical consistency.</li></ul> 
Skills, qualifications and experience we look for<ul><li>
3-5+ years of experience in data analytics, business analytics, or related roles within tech, AI, or product-driven companies.</li><li>
Bachelor&rsquo;s degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline.</li><li>
Strong technical foundation, including advanced SQL, dashboard design, metric design, experimentation analysis, and experience working with large, complex datasets.</li><li>
Execution-oriented mindset, with a willingness to get hands dirty, investigate issues end-to-end, and follow through from insight to validation.</li><li>
Clear communication and collaboration skills, with the ability to work effectively with cross-functional and cross-regional stakeholders.</li></ul>
What we offer
<ul><li>Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud&rsquo;s long-term success.</li><li>
High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.</li><li>
Comprehensive Health &amp; Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.</li><li>
Time Off &amp; Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.</li><li>
Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.</li><li>
Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.</li><li>
Team &amp; Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.</li></ul></div>

Data Analyst, Growth - San Francisco

Cargomatic

<div>Senior Data Architect &ndash; Data Engineering

Location: San Francisco, CA 
Reports To: VP of Engineering 
FLSA Status: Exempt 
Employment Type: Full-Time 
Compensation: $140,000 &ndash; $160,000 annually (based on experience)

About Cargomatic

Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.

We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you.

Position Summary

Cargomatic is seeking a Senior Data Architect &ndash; Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.

You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.

Key Responsibilities

Data Architecture &amp; Engineering
<ul>
<li>Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications
</li>
<li>Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)
</li>
<li>Define standards for data governance, reliability, performance, and cost optimization
</li>
<li>Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)
</li>
</ul>AI &amp; LLM-Enabled Systems
<ul>
<li>Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data
</li>
<li>Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar
</li>
<li>Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications
</li>
<li>Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks
</li>
</ul>Backend &amp; API Development
<ul>
<li>Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities
</li>
<li>Ensure observability, monitoring, and cost controls across AI and data services
</li>
<li>Contribute to microservices architecture and distributed system design
</li>
</ul>Collaboration &amp; Leadership
<ul>
<li>Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions
</li>
<li>Mentor junior engineers and contribute to architectural standards and best practices
</li>
<li>Drive innovation in data engineering and AI-powered logistics systems
</li>
</ul>Qualifications
<ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience
</li>
<li>8+ years of software or data engineering experience in production environments
</li>
<li>Strong expertise in data modeling, distributed systems, and scalable cloud architectures
</li>
<li>Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)
</li>
<li>Advanced SQL skills and deep understanding of modern storage formats
</li>
<li>Proficiency in Python and RESTful API development
</li>
<li>Experience integrating LLM APIs into production applications
</li>
<li>Strong understanding of system reliability, observability, and cost management in cloud environments
</li>
</ul>Desired Experience
<ul>
<li>Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval
</li>
<li>Experience designing multi-agent or agentic AI workflows with orchestration frameworks
</li>
<li>Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)
</li>
<li>Experience with microservices architecture and distributed system design
</li>
<li>Exposure to transportation, logistics, or supply chain domains
</li>
<li>Active GitHub contributions or demonstrated passion for emerging AI and data technologies
</li>
</ul>Why Join Cargomatic?

We offer competitive compensation and a comprehensive benefits package, including:
<ul>
<li>Medical, Dental, and Vision insurance
</li>
<li>401(k) with company match
</li>
<li>Flexible Spending Accounts (FSA)
</li>
<li>Company-paid Life and Disability insurance
</li>
<li>Flexible Paid Time Off (PTO) and company holidays
</li>
<li>Paid Parental Leave
</li>
<li>Employee Assistance Program (EAP)
</li>
<li>Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company
</li>
<li>Collaborative, high-impact team environment
</li>
</ul>Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.</div>

Data Engineer

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Genentech!
The Opportunity
The Department of Protein Sciences at Genentech has an exciting opportunity for a Senior Scientist with a strong background in protein biochemistry and structural biology to join our Structural Biology and Protein Engineering groups.
In this role, you will act as a technical expert responsible for the production of high-quality protein reagents in support of small molecule, peptide and antibody drug discovery campaigns. You will support hit finding efforts such as high-throughput screening, DNA-encoded library technologies, or display-based selections and deliver high-resolution ligand-protein structures in support of lead molecule optimization. Additionally, you will investigate, institute, and develop methods to improve the tractability of challenging proteins and identify, evaluate and implement new technology opportunities to accelerate and scale protein production.
A proven track record in optimizing the expression and purification of challenging proteins for functional and structural studies is essential. Hands-on experience using different purification and reconstitution approaches and biochemical/structural characterization of membrane proteins and membrane-associated protein complexes from recombinant or endogenous sources is highly desirable.
In addition to expertise in protein biochemistry, you will employ biochemical, biophysical, and computational methods to support structure-based drug design, antibody discovery, protein engineering approaches, and you will elucidate function and mechanism of action through high-resolution structural analyses. Accordingly, proficiency in X-ray crystallography and/or cryo-EM methods and a passion for exploring the structural basis of protein-protein and protein-ligand interactions is essential.
The successful candidate will be a technical expert who can lead from the bench and collaborate fruitfully with colleagues on multiple interdepartmental project teams. Overall, you will be an outstanding biochemist, structural biologist and collaborator who will have a significant impact on our portfolio, with the unique opportunity to help drive discovery projects from inception to early development.
Who You Are
Required Qualifications:<ul><li>
Education: Ph.D. in biochemistry, biophysics, protein engineering, and/or structural biology.</li><li>
Experience: 0-3 years post-Ph.D. experience. While early postdoctoral or industry experience is desirable, it is not strictly required for candidates with an outstanding scholastic record and technical proficiency.</li><li>
Technical Expertise: Experience with multiple protein targets is required.</li><li>
Track Record: Productive pre-doctoral training reflected in an established track record of high-impact publications or patents. You should demonstrate a strong prospect for independent thought and creativity in the development and application of mission-critical technology.</li></ul>
Additional Qualifications &amp; Responsibilities:<ul><li>
Scientific Independence: Ability to plan, design, and execute experiments within the context of department or project goals, maintaining necessary scientific records and drawing sound conclusions.</li><li>
Protein Production: Hands-on experience engineering and optimizing the production of challenging protein targets to generate and characterize milligram quantities of high-quality protein reagents.</li><li>
Communication: Excellent communication, interpersonal, and organizational skills.</li><li>
Attitude: A fearless attitude to tackle longstanding difficult problems.</li></ul>
Preferred<ul><li>
Membrane protein experience on GPCRs, ion channels, and/or transporters is highly desirable.</li><li>
Experience with biophysical/biochemical assays to characterize protein conformation is a plus.</li></ul>
Relocation benefits are available for this posting.
The expected salary range for this position based on the primary location of California is $124,300 to $230,900. 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.
Benefits
#LI-KC2
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.
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.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Feb 23rd 2026
</div><div>Job ID
202602-104356</div></ul></div></div></div></div>

Senior Scientist, Protein Sciences

Vercel

<div></div><div><div><div><div><ul><li>Data</li><li>
Hybrid (San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</div><div></div><div><h2 class="jobSectionHeader">
About the Team</h2>
The Data Platform &amp; Engineering team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel.
We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows.</div><div></div><div><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Summer Intern to join the Data Platform &amp; Engineering team. This role is designed to flex across Data Platform Engineering and Data Engineering, depending on your strengths and interests.
You&rsquo;ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.
You will:<ul><li>
Build and improve data pipelines using SQL and Python</li><li>
Contribute to the development and reliability of our data platform infrastructure</li><li>
Help design and model datasets that power analytics, internal tools, and AI-driven workflows</li><li>
Improve data quality, observability, and governance across systems</li><li>
Support the infrastructure and contextual data layers that enable company-wide agents and interfaces</li><li>
Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions</li></ul>
Depending on your focus, projects may lean more toward:<ul><li>
Data Engineering: modeling, transformation, orchestration, analytics enablement</li><li>
Data Platform Engineering: infrastructure, tooling, performance optimization, developer experience for data systems</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Currently pursuing a BS or MS in Computer Science, Data Science, or a related technical field</li><li>
Strong proficiency in SQL and Python</li><li>
Solid understanding of data modeling principles and relational databases</li><li>
Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration</li><li>
Comfort working in a collaborative, fast-moving engineering environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Based in SF/Bay Area &amp; open to commuting to SFHQ 2-3 days a week</li></ul>
Nice to Have:<ul><li>
Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)</li><li>
Exposure to cloud infrastructure (AWS, GCP, or similar)</li><li>
Experience working with large datasets or analytics systems</li><li>
Interest in AI/ML systems or agent-based workflows</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What You&rsquo;ll Gain</h2><ul><li>
Real-world experience building production-grade data infrastructure</li><li>
Exposure to modern data platform architecture at scale</li><li>
The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel</li><li>
Mentorship from experienced data and platform engineers</li><li>
A meaningful, scoped project with measurable impact</li></ul></div></div></div></div>

Data Platform & Engineering Intern

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