Research Engineer - Data

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$250K-$350K From the posting source checked Jun 20, 2026

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

168% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Engineer - Data Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will build and drive the data foundation for our research efforts. This means owning data strategy end-to-end: sourcing and procuring external datasets, integrating internally generated experimental data into the training stack, and ensuring the team always has the right data - in the right shape - to train and improve frontier models. This role sits at the intersection of data engineering, research infrastructure, and strategy. You will work closely with pretraining, midtraining, and RL researchers to understand what data the models need, then build the pipelines and systems to get it there. The work spans collecting and organizing diverse data sources, improving data quality through deduplication and preprocessing, and ensuring that new experimental results are incorporated in a structured, repeatable way that makes them useful for model development. What You'll Do - Own data strategy across the training stack - identifying gaps, evaluating new sources, and shaping the overall data roadmap in collaboration with research leads - Source, evaluate, and procure external datasets across scientific domains including chemistry,

Read the full description at jobs.ashbyhq.com. FewerJobs shows a preview and links to the original posting.