Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings

Full Time

Cambridge, MA USAPosted 7 weeks ago

Role Overview

Lilasciences is hiring a Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings. This is a full-time role in Cambridge. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PyTorchORCompensationBenefitsPrivacyDiscoveryImpactLILA

Job description

Your Impact at LILA

We’re hiring a Machine Learning Scientist to advance multi‑modal reasoning with vision‑language models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You’ll design and build state‑of‑the‑art methods to advance the state of Scientific Superintelligence.

What You'll Be Building

Lead research on multi‑modal reasoning systems that interpret scientific data (images, plots, text, etc) using state‑of‑the‑art and custom VLMs.
Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks.
Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance.
Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities.
Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence.

What You’ll Need to Succeed

Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physical‑sciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience.
Track record in multi‑modal ML or VLMs demonstrated via shipped systems, publications, or open‑source.
Understanding of scientific QA/benchmarks and custom evaluation design.
Experience with multi-modal fine-tuning, document parsing & understanding, dataset curation and benchmarking.
Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface).
Clear communication and collaboration in cross‑functional settings.

Bonus Points For

Experience with scientific data modalities in real-world laboratories such as microscopy images.
Publications in top ML/CV/NLP venues or tangible impact in applied industrial research.
Contributions to open‑source multi‑modal tooling, evaluation suites, or datasets.

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

$176,000—$304,000 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.

About Lilasciences

Lilasciences

On-site

119 other open roles at Lilasciences on TryApplyNow.

View all 120 roles at Lilasciences

Frequently Asked Questions

How do I apply for the Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings position at Lilasciences?

Use the Apply button above to submit your application directly to Lilasciences. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings position at Lilasciences located?

This position is based in Cambridge. Lilasciences has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings at Lilasciences earn?

Lilasciences has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings role at Lilasciences posted?

This role was posted on May 15, 2026 (55 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.