Join to apply for the ML Engineer | $56/hr Remote | Mercor role at Crossing Hurdles
This range is provided by Crossing Hurdles. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$56.00/hr - $56.00/hr
Organization: Mercor
Referral Partner: Crossing Hurdles
Type: Hourly Contract
Compensation: $56/hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities (Training support will be provided)
- Analyze large, complex datasets to identify patterns and generate actionable insights.
- Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types.
- Design and implement rigorous experiment frameworks and validation strategies.
- Automate workflows, feature pipelines, and reproducible research environments.
- Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes.
- Collaborate with ML engineers and research teams to productionize models at scale.
- Present findings through clear documentation, dashboards, and reports.
Requirements
- Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings).
- Strong experience in data science, analytics, or ML-driven research.
- Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn.
- Solid knowledge of experiment design, causal inference, and statistical modeling.
- Familiarity with SQL, distributed data systems, and experiment tracking tools.
- Excellent communication and data storytelling skills.
Application Process (Takes 20 min)
- Upload resume
- AI interview based on your resume (15 min)
Referrals increase your chances of interviewing at Crossing Hurdles by 2x
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Analyst and Research
- Data Infrastructure and Analytics, IT System Data Services, and Research Services
ML Engineer | $56/hr Remote | Mercor in Remote at Unknown Company
This position is listed as contract and able to be worked remotely.