Senior Data Scientist, Machine Learning Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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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

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

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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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

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist, Machine Learning Engineer Poland; Lviv, Ukraine; Europe About Shelf The enterprise is going agentic - but most AI agents fail when they hit real business complexity. Shelf is changing that. We've built the operating system for agentic AI: a platform that models your policies, workflows, and operational logic into an AI Data Model so agents don't just respond - they reason. The result? AI that understands how your business actually runs and delivers precise, compliant, auditable outcomes at scale. Brands like Amazon, Nespresso, HelloFresh, and KeyBank trust Shelf to power AI agents that resolve 85% of cases autonomously, cut handle times by 20-25%, and turn hours-long processes into seconds. We're partnered with Microsoft, Salesforce, OpenAI, Snowflake, and Databricks - and recognized by Gartner (Cool Vendor) and IDC (Innovator) for our approach. If you want to sell the infrastructure that makes agentic AI actually work in the enterprise, you're in the right place. Our mission is to empower humanity with better answers everywhere. Summary The R&D department plays a pivotal role in driving Shelf to disrupt the market. We are looking for Machine Learning experts that are able to deliver end to end with a blend of experience: Python engineering, ML engineering, and pragmatic Data science and Machine learning research. You will ship end-to-end features-from problem framing and experimentation to service deployment, and ongoing operations-quickly and with high quality. Your work will power ML- and LLM-driven services used by top enterprises like Amazon, Mayo Clinic, AmFam, and Nespresso.

Read the full description at shelf.io. FewerJobs shows a preview and links to the original posting.