San Francisco, California, United States · On-site
$268k–$336k/yr
Senior$551M raised
Your Impact at LILA Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), we develop autonomous-science capabilities for cellular and tiss…
The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are…
Skills: Process Engineering, Material Science, Surface Engineering, Statistical Process Control, Design of Experiments
The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are…
Skills: Process engineering, Semiconductor manufacturing, Material science, Surface engineering, Statistical process control
Description The Clinical Trial Assistant (CTA) provides operational and administrative support to the Clinical Operations team in the execution of Sagimet’s clinical trials. This role requires a highly organized, detail-…
Rep, Mobile Examiner - (P/T) - ExamOne/San Diego, CA area
San Diego, California, United States · On-site
$13/hr–$26/hr
Mid level$3.1B raised
Under the direction of the Branch Manager or Field Leader, the Mobile Examiner's primary responsibility is to provide coverage in the field ensuring that mobile exams are completed accurately and on time. Maintain a safe…
Rep, Mobile Examiner - (P/T) - ExamOne/Rancho Cucamonga, CA area
Rancho Cucamonga, California, United States · On-site
$13/hr–$26/hr
Mid level$3.1B raised
Under the direction of the Branch Manager or Field Leader, the Mobile Examiner's primary responsibility is to provide coverage in the field ensuring that mobile exams are completed accurately and on time. Maintain a safe…
Skills: Phlebotomy, Specimen Collection, EKG, Patient Care, Interpersonal Communication
Introduction: Xencor is a public, clinical-stage biopharmaceutical company located in the Los Angeles area (Pasadena) and in San Diego. Our focus is developing high-potential XmAb® bispecific T-cell engagers and addition…
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In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running. The Network Infrastructure group is at the heart of a revolution to connectivity, pushi…
Description Position Title: Scientist Reporting to: Associate Director, ASO Strategy Research Location: San Diego, CA 92121 Employment: Full-time Salary range: $90K - $120K n-Lorem Foundation Though n-Lorem is pioneering…
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Business Unit: Oxford Instruments AFM Location: Santa Barbara, CA (hybrid) Job Title: Post Doctoral Industrial Scientist Reports to: R&D Management About Oxford Instruments: Our purpose is to accelerate the breakthroughs…
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Psychiatry Account Manager - Los Angeles Central, CA
Los Angeles County, California, United States · On-site
$125k–$147k/yr
Mid level$564M raised
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Skills: Pharmaceutical Sales, Account Management, Business Planning, Clinical Knowledge, Customer Development
Description U.S. Citizenship Required. Ability to qualify for a US Department of Defense security clearance required. This position is in person. Toyon is seeking Algorithm Developers capable of developing advanced algor…
Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new front…
Skills: Program Management, Budgeting, Risk Management, Integrated Master Schedule (IMS), Integrated Master Plan (IMP)
Description U.S. Citizenship Required. Ability to qualify for a US Department of Defense security clearance required. This position is in-person. Toyon is seeking highly qualified AI/ML Software Engineer candidates to de…
Santa Clara, California, United States · Remote OK
Senior+$1.4B raised
Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees cr…
Skills: Optical Networking, Test and Measurement, Silicon Photonics, Co-packaged Optics, PAM4
Mammography Technologist I, San Diego (Full-time, 40 Hours, Day Shift)
San Diego, California, United States · On-site
Mid level
Job Summary: Under general supervision, operates dedicated and specialized mammography radiographic equipment, formulates/calculates techniques and positions patients to produce diagnostic images of normal and abnormal h…
Are you looking for a great opportunity to solve complex engineering challenges with real-world impact? We are the Product Systems Quality Robotics & Applied Intelligence team, who design, build and deploy robotic and me…
Skills: Python, Computer Vision, OpenCV, AI/ML, Linear Algebra
Director, Patient Support Strategy & Operations (Hybrid)
South San Francisco, California, United States · Hybrid
$204k–$265k/yr
Senior+$1.3B raised
Neurodegenerative diseases are one of the largest medical challenges of our time. Denali Therapeutics is a biotechnology company dedicated to developing breakthrough therapies for neurodegenerative diseases through our d…
South El Monte, California, United States · On-site
Entry level
Full time The primary responsibility of this position is to operate precision etching equipment and meet production goals on a consistent basis. Team members in this position must adhere to environmental,health and safet…
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$268k–$336k/yr
Full-time
postgraduate degree
Medical Coverage, Dental Coverage, Vision Coverage, Employer-paid Life Insurance, Disability Insurance, Flexible Time Off
Posted 24d ago
~40 hrs/week
Responsibilities
Build autonomous life science systems that integrate AI reasoning with biological evidence and automated laboratory execution. Develop architectures and evaluation frameworks to allow AI to reason about biological hypotheses and accelerate discovery.
Requirements
Requires a PhD in a quantitative field such as Computer Science, ML, or Biology with a strong research track record in AI for science. Must be proficient in modern ML frameworks and capable of translating biological questions into computational problems.
Full job description
Your Impact at LILA
Lila is building a platform where AI and automation co-evolve to solve the hardest problems in medicine. Within Life Science AI (LSAI), we develop autonomous-science capabilities for cellular and tissue biology, spanning single-cell omics, perturbation biology, spatial profiling, imaging, genetics, and multi-modal experimental data that integrate deep biological expertise with foundation modeling and agentic systems.
We are seeking a Senior Machine Learning Scientist to help execute this vision by building autonomous life science systems grounded in epistemology, scientific methodology, Bayesian argumentation, and automation. This role will translate the scientific direction of Autonomous Life Science AI into working architectures, workflows, and evaluation methods that allow AI systems to reason rigorously about biological hypotheses, propose experiments, incorporate evidence, and accelerate discovery.
This is a hands-on scientific and technical role for someone who can operate at the intersection of machine learning, biological reasoning, agentic systems, and experimental design. The right person will be comfortable formalizing how scientific knowledge is represented, how uncertainty is handled, how evidence changes belief, and how automated systems can execute increasingly rigorous cycles of life science discovery.
What You'll Be Building
Build autonomous life science systems that connect AI reasoning, biological evidence, experimental design, and automated execution.
Translate the broader Autonomous Life Science AI vision into concrete architectures, workflows, prototypes, and production-quality research systems.
Develop methods for representing hypotheses, uncertainty, evidence, and scientific arguments in ways that enable robust machine reasoning.
Apply Bayesian reasoning, epistemology, and scientific methodology to the design of AI systems that can propose, test, and revise biological hypotheses.
Design agentic workflows that plan experiments, reason over results, and close the loop between computational predictions and automated laboratory feedback.
Partner with ML scientists, experimental scientists, automation teams, and platform teams to ensure systems are biologically grounded and experimentally actionable.
Build evaluation frameworks for autonomous discovery systems, including benchmarks for reasoning quality, hypothesis generation, evidence integration, and experimental utility.
Contribute to the technical roadmap for autonomous life science research systems and help raise the scientific rigor of the team’s approach.
What You'll Need to Succeed
PhD in Computer Science, Machine Learning, Computational Biology, Statistics, Biology, or a related quantitative field.
Strong research track record in machine learning, AI for science, computational biology, probabilistic modeling, agentic systems, or a related area.
Deep understanding of scientific reasoning, experimental design, uncertainty, and evidence integration.
Experience building or researching systems that reason over complex scientific, biological, or experimental data.
Strong foundation in modern ML methods, with hands-on experience in frameworks such as PyTorch, JAX, or TensorFlow.
Ability to translate biological questions into computational and ML problems, and to translate ML system behavior back into scientific terms.
Strong technical judgment, with the ability to operate in open-ended research settings where the right architecture, abstraction, or evaluation method is not yet obvious.
Excellent collaboration skills across AI, biology, automation, and platform teams.
Bonus Points For
Experience with Bayesian modeling, probabilistic programming, causal inference, or formal methods for reasoning under uncertainty.
Experience building agentic, active-learning, closed-loop, or autonomous-science systems.
Familiarity with biological data modalities such as single-cell omics, perturbation data, imaging, spatial profiling, genetics, or multi-omics.
Experience designing systems that generate, rank, test, or revise scientific hypotheses.
Background in philosophy of science, epistemology, scientific methodology, or formal argumentation.
Experience integrating computational predictions with experimental or automated lab workflows.
Track record of publishing or presenting work at premier ML, computational biology, or scientific venues.
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$268,000—$336,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We’re All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are building the foundation to apply AI to every aspect of the scientific method, enabling scientists to bring forth solutions in human health and sustainability at a pace and scale never experienced before.
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