software engineer

data engineer

machine learning engineer Jobs in San Francisco

machine learning engineer

ai engineer

data engineer - data engineering Jobs in San Francisco

data engineer - data engineering

ai research engineer fair chemistry

AI Research Engineer, FAIR Chemistry

OpenAI

<div>
 We&rsquo;re building the next generation of OpenAI&rsquo;s internal developer experience, whether they&rsquo;re working human-only, agent-only, or fully hybrid. As AI changes how software gets written, reviewed, tested, and shipped, we are reimagining the best practices in the software development lifecycle, and integrating our dev infra and tooling into a seamless yet powerful offering.
 
 
 This role lives at the intersection of product design, engineering craft, and real-world scale. We&rsquo;re looking for a
 
 product-minded engineer
 
 who can own end-to-end experiences across multiple UI/UX surfaces across our internal tooling ecosystem, with a strong taste for interaction design and a keen eye for developer&rsquo;s needs.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own major product areas end-to-end: problem discovery, UX iteration, technical design, implementation, rollout, and ongoing improvements.
 </li>
 <li>
 Partner closely with engineers and internal stakeholders to understand pain points and translate them into simple, effective UI/UX for core developer workflows.
 </li>
 <li>
 Integrate and iterate on AI-empowered DevEx that balances capability vs simplicity/control.
 </li>
 <li>
 Set a high bar for performance, reliability, and usability, providing a world-class product experience for every engineer at OpenAI.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you
 
 
 
 <ul>
 <li>
 Have 5+ years of professional engineering experience (excluding internships) building user-facing products.
 </li>
 <li>
 Are a strong frontend engineer or a full-stack engineer with deep UI instincts, and modern web fundamentals (TypeScript, React, component design, state management).
 </li>
 <li>
 Have built products in zero-to-one environments, or owned a product surface with ambiguous requirements and high urgency.
 </li>
 <li>
 Have experience building internal tools, enterprise tools, or workflow-heavy products for technical users.
 
 
 </li>
 </ul>
 
 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&rsquo;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, and requests can be made via this link.
 
 
 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 Range: $185K - $490K
</div>

Software Engineer, Full-Stack — Developer Experience

<div>
 
 About The Team
 
 
 
 The Applied team works across research, engineering, product, and design to bring OpenAI&rsquo;s technology to consumers and businesses.
 
 
 We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.
 
 
 
 About The Role
 
 
 
 We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
 </li>
 <li>
 Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
 </li>
 <li>
 Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
 </li>
 <li>
 Implement robust and fault-tolerant systems for data ingestion and processing.
 </li>
 <li>
 Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
 </li>
 <li>
 Ensure the security, integrity, and compliance of data according to industry and company standards.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
 </li>
 <li>
 Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
 </li>
 <li>
 Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
 </li>
 <li>
 Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
 </li>
 <li>
 Solid understanding of Spark and ability to write, debug and optimize Spark code.
 
 
 </li>
 </ul>
 This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
 
 
 
 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&rsquo;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, and requests can be made via this link.
 
 
 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 Range: $230K - $385K
</div>

Data Engineer, Analytics

About the Team
 
The Future of Computing Research team is an applied research team within the Consumer Devices group focused on developing new methods, models, and evaluation frameworks that support our vision for the future of computing. We work at the frontier of multimodal AI, helping turn emerging model capabilities into product experiences that are useful, delightful, and worthy of long-term trust.
 
Our work explores a new class of AI systems that can learn over time, adapt to individuals, and support people in the flow of daily life. This includes long-term memory, user modeling, and personalization systems that are aligned not just with immediate satisfaction, but with a person’s broader goals, values, and well-being.
 
We work closely across research, engineering, design, product, and safety to define what it means to build AI systems that know you over time, act at the right moment, and help in ways that are context-aware, respectful, and demonstrably beneficial.
 
About the Role
 
We are looking for a Research Engineer / Scientist to join the Future of Computing Research team to work on RLHF and post-training for personalized, multimodal AI systems.
 
This role will focus on building the learning and evaluation foundations that help models become more context-aware, adaptive, and useful over time. You will work on problems such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that must make high-quality behavioral decisions in realistic user settings. The work is deeply product-grounded: success is not just higher benchmark performance, but better model behavior in real-world use.
 
The ideal candidate is excited about pushing beyond one-turn assistant behavior toward systems that improve through feedback, learn from richer signals, and are trained against meaningful notions of user value. Internally, that maps closely to the need for careful reward design, feedback loops, and evaluation frameworks that test whether interventions are actually beneficial over longer horizons.
 
This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.
 
In this role, you will: 
Develop RLHF and post-training methods for multimodal models.
 
Build reward models and preference-learning pipelines for adaptive, personalized model behavior.
 
Design datasets, rubrics, and evaluation frameworks that capture user preferences, contextual appropriateness, and long-term value in realistic tasks.
 
Run experiments on policy improvement using explicit feedback, implicit signals, and model-based grading.
 
Work on long-horizon evaluation problems, where model quality depends not just on a single response but on whether behavior improves outcomes over time.
 
Collaborate closely with safety researchers to ensure that adaptation and personalization remain aligned, interpretable, and bounded by clear constraints.
 
Prototype and iterate quickly on training recipes, reward formulations, data pipelines, and evaluation suites for product-relevant behaviors.
 
Help define how OpenAI measures success for personalized AI systems including trust, appropriateness, and long-term user benefit.
 
You might thrive in this role if you: 
Have a strong background in machine learning research, with experience in RLHF, reward modeling, preference optimization, or post-training for large models.
 
Have worked on one or more of: reinforcement learning, ranking, recommender systems, personalization, memory, or human-in-the-loop evaluation.
 
Care about rigorous empirical work and know how to design clean experiments, reliable evals, and decision-useful metrics.
 
Are excited by the challenge of training models against nuanced behavioral objectives.
 
Have experience building datasets or eval pipelines grounded in human preferences, rubrics, or real-world product behavior.
 
Are comfortable working across the stack, from data generation and labeling strategy to training runs, reward functions, and analysis.
 
Are interested in multimodal AI and in how models can learn from richer interaction signals over time.
 
Want to work on product-shaping research with unusually high stakes for trust, alignment, and long-term user value.
 
Enjoy close collaboration with engineers, designers, and safety researchers to turn frontier research into real systems.
 
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
 
$380K – $445K + Offers Equity

Research Engineer/Scientist - Human Alignment, Consumer Devices

<div>
 
 About The Team
 
 
 
 The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
 
 
 The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.
 
 
 
 About The Role
 
 
 
 As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You&rsquo;ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You&rsquo;ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
 </li>
 <li>
 Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
 </li>
 <li>
 Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
 </li>
 <li>
 Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
 </li>
 <li>
 Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Demonstrated experience in deep learning and transformers models
 </li>
 <li>
 Experience with content understanding or abuse prevention with LLMs is a plus
 </li>
 <li>
 Proficiency in frameworks like PyTorch or Tensorflow
 </li>
 <li>
 Strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Ability to work collaboratively with cross-functional teams.
 </li>
 <li>
 Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
 </li>
 <li>
 Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
 
 
 </li>
 </ul>
 
 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&rsquo;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, and requests can be made via this link.
 
 
 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 Range: $266K - $555K
</div>

Machine Learning Engineer, Integrity

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Machine Learning Engineer
 
 
 
 Company:
 
 Harnham
 
 
 
 Location:
 
 San Francisco, CA
 
 
 <ul>
 <li>
 Remote
 
 
 </li>
 </ul>
 
 Type:
 
 Full-time
 
 
 
 Posted:
 
 10 hours ago
 
 
 
 Job Description
 
 
 
 
 MACHINE LEARNING ENGINEER - MULTIMODAL AI
 
 
 
 
 FULLY REMOTE
 
 
 
 
 $260,000 - $325,000
 
 
 
 An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.
 
 
 You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.
 
 
 
 The Company
 
 
 
 The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.
 
 
 THE ROLE
 
 
 Hands-on engineering role focused on developing and deploying advanced ML models.
 
 
 <ul>
 <li>
 Develop computer vision and generative AI models for image and video
 </li>
 <li>
 Prototype and iterate on research solutions under tight timelines
 </li>
 <li>
 Collaborate with engineering, product, and research teams to productionize models
 </li>
 <li>
 Ensure clean, maintainable, and high-performance code
 
 
 </li>
 </ul>
 
 Your Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years in ML, computer vision, graphics, or related research/engineering roles
 </li>
 <li>
 Strong programming skills; experience with CUDA and C++ for performance optimizations
 </li>
 <li>
 Experience with at least one ML framework (PyTorch, TensorFlow)
 </li>
 <li>
 Deep interest in human-in-the-loop systems for creativity
 </li>
 <li>
 Ability to rapidly prototype and iterate on solutions
 </li>
 <li>
 Excellent collaboration, communication, and documentation skills
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please register your interest by sending your resume to Calum Reid via the apply link on this page.
 
 
 
 About Harnham
 
 
 
 <ul>
 <li>
 Company size: 51 - 200 Employees
 </li>
 <li>
 Headquarters location: New York, NY, US
 </li>
 <li>
 Year founded: 2006
 </li>
 </ul>
</div>

Machine Learning Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</div><div>Description
<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.
Position: Data Architect, Data Foundry
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
Overview
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.
Position Summary
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.
This role is the foundation of Architecture4Insight . Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with Tech@Lilly to scale and maintain them. The role spans three focus areas depending on expertise: data modeling &amp; ontologies , data platform &amp; lakehouse architecture , and knowledge graph &amp; specialized data systems .
Responsibilities
Data Modeling &amp; Ontologies
<ul><li>Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li>
<li>Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li>
<li>Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li>
</ul>
Data Platform &amp; Lakehouse Architecture
<ul><li>Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li>
<li>Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li>
<li>Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li>
</ul>
Knowledge Graph &amp; Specialized Data Systems
<ul><li>Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li>
<li>Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li>
<li>Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li>
</ul>
Cross-Functional Partnership
<ul><li>Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li>
<li>Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li>
<li>Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li>
<li>Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li>
</ul>
Basic Requirements
<ul><li>B.S. or M.S. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field; Ph.D. valued for ontology and knowledge graph roles.</li>
<li>B.S. with 7+ years and M.S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.</li>
<li>SQL skills and experience in multiple database paradigms (relational, graph, document, columnar, key-value).</li>
</ul>
Preferred Qualifications
<ul><li>Expertise in at least one of: data modeling/ontologies, data platform engineering (Databricks, Snowflake, Spark), or graph/specialized databases (Neo4j, Neptune, MongoDB).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li>
<li>Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li>
<li>Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li>
<li>Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li>
<li>Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li>
<li>Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li>
<li>Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li>
<li>Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li>
<li>Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li>
<li>Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li>
<li>Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li>
<li>Experience with bioinformatics data formats (FASTA, BAM/CRAM, VCF) and biological sequence databases; familiarity with NGS data pipelines and proteomics data management.</li>
<li>FAIR data principles implementation experience and Data Readiness Level frameworks.</li>
<li>Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt, pathway databases such as Reactome or KEGG).</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
$132,000 - $193,600
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>
</div><div>Salary
132,000.00 - 193,600.00 Annual</div></div><div></div>

Data Architect, Data Foundry

Explore 482+ Ai research engineer fair chemistry in San Francisco this March. Find roles across top companies and apply now to boost your career.