Member of Technical Staff
Palo Alto, CAFull-timePosted 7mo agoStill listed today
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At a glance
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Job overview
The Member of Technical Staff will lead research and development in machine learning and AI for mathematical discovery and reasoning. The role involves setting research agendas, designing large-scale experiments, collaborating with mathematicians to formulate benchmarkable objectives, and communicating findings through publications, talks, and open-source releases. It also includes mentoring junior researchers and advancing work at the intersection of deep learning, neuro-symbolic methods, automated theorem proving, and mathematics.
Skills & qualifications
Skills
Qualifications
Full job description
Applicable Field of Work
- Machine Learning & AI for Mathematical Discovery and Reasoning — R&D at the intersection of deep learning, neuro-symbolic methods, automated theorem proving, and pure/applied mathematics.
Duties & Responsibilities
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Lead core discovery projects (e.g., successors to PatternBoost): set research agendas, design and run large-scale experiments to reveal latent mathematical structures, and publish high-impact papers in top AI and mathematics venues.
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Collaborate with research mathematicians to identify open problems to tackle, formulate them into benchmarkable ML objectives, build reproducible pipelines, and iterate toward state-of-the-art solutions.
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Communicate results broadly through peer-reviewed publications, conference talks, open-source releases, and internal briefings that translate research insights into business value.
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Mentor and coach junior researchers by providing technical guidance, rigorous code reviews, and career development support, fostering a culture of excellence and collaboration.
Professional Skills & Competencies Hard Skills
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Advanced coding in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
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Deep expertise in large-scale training, reinforcement learning, program synthesis, and neuro-symbolic techniques.
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Strong foundation in higher mathematics (algebra, analysis, combinatorics) and formal proof systems (Lean, Coq, Isabelle).
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Demonstrated research acumen: experiment design, rigorous analysis, and a track record of peer-reviewed publications.
Soft Skills
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Exceptional scientific writing and presentation abilities, tailoring complex ideas to diverse audiences.
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Proven collaborator who thrives in interdisciplinary teams with mathematicians, engineers, and product stakeholders.
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Leadership and mentorship strengths—able to inspire, guide, and elevate a high-performance research culture.
How this job compares
Set against the 580 open Machine Learning Researcher jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- California median$184–300K/yr161 salary ranges
- California median$58–85/hr21 hourly ranges
- Openings
- Olive Jobs lists 278 open Machine Learning Researcher jobs in California and 580 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Researcher postings that state a minimum ask for 3 years of experience at the median; the middle half ask for 2 to 5 years (216 postings).
- Education
- 238 of the 580 open Machine Learning Researcher jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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