Machine Learning Engineer

Elevate

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Own the practical ML and data science layer
Build, test, explain, and ship ML models
Partner with product, engineering, analytics, and business stakeholders
Improve trust in data and insights products
Productize AI workflows for personas, report insights, synthetic interviews, and research-style outputs
Build validation and evaluation frameworks
Define success metrics
Separate true machine learning needs from other problems
Collaborate with full-stack engineering on ML output integration
Partner with agency and offshore resources
Bring technical recommendations to leadership

3+ years of experience in machine learning, data science, applied AI, or a closely related role
Strong Python and SQL skills
Experience working across large, imperfect, real-world datasets
Experience building models or analytical systems evaluated against business outcomes
Practical experience with data validation, anomaly detection, model evaluation, experimentation, and measurement
Comfort owning the full ML lifecycle
Ability to partner with backend and full-stack engineers
Ability to explain technical trade-offs to stakeholders
Strong product judgment
A bias toward pragmatic delivery

Customer segmentation, survey/polling data, marketing analytics, identity resolution, or sample weighting
AI-assisted persona generation, report insight generation, synthetic research workflows, or LLM-backed analyst tools
AWS data and ML services such as S3, Lambda, Glue, Redshift, SageMaker, Bedrock, or similar cloud platforms
Experience with data products used by non-technical business users
Experience in sports, entertainment, ticketing, media, sponsorship, or consumer brand analytics

Skills