Lila Sciences
Senior ML Scientist, Biological Systems
San Francisco, CA USA · Senior · Full-time
Sponsorship not specified$268k-$358kDetected 37 days ago
Machine LearningStatisticsA/B TestingRecruitingBioinformaticsResearchExperimental DesignCommunicationPublic Speaking
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Your Impact at LILA Lila is redefining the future of medicine by combining automated large-scale data generation with scientific superintelligence.
- The question is not only what to learn from a fixed dataset, but what datasets should exist.
- Predictions go to systems and scientists choosing what to run next and making mechanistic calls downstream.
Responsibilities
- 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 Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
Requirements
- Experience deploying research models into scientific decision-making workflows, including serving models as tools other systems call.
Nice to have
- Make uncertainty a deliverable.
- Calibrated posteriors, honest error bars, and outputs that tell a downstream consumer how much a prediction can actually settle - particularly when predicting into conditions never measured.
- Pre-register and beat baselines.
- Simple entity-mean, additive, and linear baselines are stated before any model is fit.
- If the full model does not beat them, we ship the baseline and say so.
- Generalization under structured sparsity.
- Uncertainty and evaluation rigor.
- Strong programming skills, reliable ML research workflows, and clear communication across ML, biology, and experimental teams.
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.
- 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
- Expected Base Salary Range
- $268,000 - $358,000 USD
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Benefits
- 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
- International Benefits.
- Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lila Sciences's careers page and normalized into a canonical job model.