ML Engineer | $56/hr Remote | Mercor

Crossing Hurdles; United States; Remote; USD 77,145; Part time

Job summary

A dynamic technology company is seeking a Mid-Senior level ML Engineer for a remote role. The ideal candidate will analyze complex datasets to derive actionable insights, build high-performing predictive models, and collaborate with cross-functional teams. Strong expertise in machine learning, Python, and statistical modeling is required. This position offers an hourly contract with a pay of $56/hr and a flexible commitment of 10–40 hours per week.

Qualifications

• Kaggle Competitions Grandmaster or equivalent achievement.
• Strong experience in data science, analytics, or ML-driven research.
• Familiarity with distributed data systems and experiment tracking tools.

Responsibilities

• Analyze large, complex datasets to identify patterns and generate insights.
• Build predictive models and ML pipelines across varied data types.
• Collaborate with teams to productionize models at scale.

Skills

Data science

Machine learning

Python

Data storytelling

Statistical modeling

SQL

Tools

Pandas

NumPy

Polars

scikit-learn

Job description

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