Similar Jobs
About the role
10x Genomics helps researchers answer biology’s hardest and most elusive questions with single cell and spatial biology technology. We're harnessing the power of AI and large language models (LLMs) to revolutionize how researchers interact with their data and drive discovery.
As an AI/LLM Engineer, you’ll be at the forefront of developing intelligent, user-centric solutions that assist scientists and internal teams throughout their research journey—from experimental design and data processing to troubleshooting and advanced analysis. Your work will directly impact how researchers around the world conduct and accelerate their genomic studies.
You'll collaborate with a cross-functional team of data scientists, computational biologists, software engineers, and domain experts to build robust, scalable tools that make complex biological workflows more intuitive and accessible.
Join us in shaping the future of research—where AI meets the frontiers of biology.
What you will be doing
- Design, build, test, and deploy scalable and efficient backend systems that power AI- and LLM-driven customer experiences and internal tools.
- Handle large-scale data processing workflows—including data management, normalization, transformation, and vectorization.
- Build and optimize infrastructure for deploying and monitoring cloud services, ensuring high uptime, low latency, and robust system performance.
- Collaborate cross-functionally with computational biologists, software engineers, scientists, product managers, and designers to shape AI features that directly address customer pain points in the research journey.
- Explore and apply modern NLP techniques, including retrieval-augmented generation (RAG), transformers, and fine-tuning/customization of foundation models.
Minimum Requirements
- Bachelor's degree in computer science, engineering, math, or scientific discipline and 6 years of software development OR 8 years of professional experience building software.
- Professional experience with AI, natural language processing (NLP), RAG, Embeddings, Vector stores, and GPT models.
- Four years experience with backend systems (REST APIs, backend services, modern relational database systems).
- Experience with a cloud environment and services (e.g. AWS, Kubernetes, Docker, Grafana).
Preferred Skills and Experience
- Experience with large-scale data processing, including wrangling, normalization, and transformation.
- Proficient working across the stack—from backend services and data infrastructure to application logic and APIs.
- A background in biology or bioinformatics is not required, but an interest in scientific research and a desire to support the scientific community are highly valued.
Below is the U.S. base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, experience, and location. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share the specific base pay range for your preferred location and more about the Company’s total compensation package.
About 10x Genomics
At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.
We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.
Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.
Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.
10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.
10x Genomics Pleasanton, California, USA Office
6230 Stoneridge Mall Rd, Pleasanton, CA, United States, 94588
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
