Technical leader building Claude Science, an AI workbench for researchers that integrates literature, databases, scientific computing, analysis, and publication tools. Shape product and architecture from 0→1, partner with scientists and research teams to translate domain needs into shipped features and improved model capabilities.
405k – 485k/yr
Hybrid8+ YOEML Engineering
About the role
What you'll do
Ship fast against a roadmap you help shape: this is a product in a category no one has defined yet, and the highest-leverage problems are still unclaimed
Interface directly with working scientists — academic labs, industry R&D teams, and research institutes — during key conversations, translating what you learn into engineering priorities
Partner with product and design to turn how scientists actually work — from hypothesis to analysis to publication — into shipped product
Work closely with research to make the models better at science: shaping evals, surfacing failure modes, and feeding what users hit in the real world back into model development
You may be a good fit if you
Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on
Have built AI products and know what it takes to turn model capabilities into applications people actually use
Are comfortable working directly with technical domain experts and translating what you learn
Drive cross-team alignment to ship impactful work, with influence over authority
Strong candidates may also have
Background in chemistry, biology, physics, or another science
Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
Compensation
Annual Salary: $405,000—$485,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Skills
ai productsSoftware EngineeringModel EvaluationevalsTechnical Leadershipcross-team alignmentPythonMachine Learning
Technical lead for the shared, accelerator-agnostic inference runtime serving Claude. Owns architecture, performance, and validation for GPU/TPU/Trainium platforms in a high-scale distributed systems environment.
405k – 485k/yr
Hybrid8+ YOEML Engineering
Staff Applied Scientist
RoktAustin, TX
Lead applied ML research, experimentation, and production model development to optimize auctions and decisioning in Rokt's multi-sided ecommerce marketplace, powering billions of transactions. Requires PhD (or equiv), 10+ years building production ML systems, and deep expertise in at least two advanced ML areas such as deep learning architectures, RL, or revenue optimization.
470k – 615k/yr
Hybrid10+ YOEML Engineering
Staff Research Engineer
DecagonSan Francisco, CA +1
Staff Research Engineer leads development of conversational AI models for enterprise support agents, owning multi-quarter initiatives from research to production deployment. Requires 8+ years in AI/ML with experience deploying LLMs, Python fluency, and cross-functional leadership.
325k – 425k/yr
On-site8+ YOEML Engineering
Member of Technical Staff
xAIPalo Alto, CA
Member of Technical Staff at xAI performing cutting-edge AI research and hands-on engineering to advance large language models, quantitative reasoning, and language understanding. Requires Bachelor's in CS/ML-related field plus 2 years experience with big data tools, Kubernetes, deep learning, NLP/CV/speech, and languages like Rust/C++/Python.
324k – 396k/yr
On-site2+ YOEML Engineering
Member of Technical Staff
xAIPalo Alto, CA
Hands-on technical leader building and scaling large language models and AI systems. Requires 3-5+ years of AI/ML experience with strong Python and deep learning frameworks.