Machine Learning Engineer at Mercury

San Francisco, California, United States

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$130,000 – $500,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Human Resources TechnologyIndustries

Requirements

Strong background in backend engineering (Python/Django or similar)
Solid foundation in machine learning and statistics; experience applying ML in production
Comfort with ambiguity and a willingness to work across domains
Familiarity with LLMs, search/recommendation systems, or classification models (bonus)

Responsibilities

Researching, training, and deploying ML models in production (e.g., fraud/cheating detection, candidate engagement and conversion prediction, search/recommendation)
Building backend infrastructure and APIs to serve ML models at scale
Collaborating with product engineers, sourcing/operations, and other teams to align models with business impact
Running experiments, analyzing results, and iterating quickly to improve model and product performance
Wearing multiple hats, sometimes data scientist, sometimes backend engineer, always problem solver

Skills

Key technologies and capabilities for this role

Machine LearningModel TrainingModel DeploymentBackend EngineeringAPI DevelopmentStatistical ModelingFraud DetectionRecommendation SystemsScalable InfrastructureData Analysis

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer position?

The salary range is $130K - $500K.

Is this role remote or onsite?

The role is onsite.

What skills are required for this Machine Learning Engineer role?

A strong background in backend engineering (Python/Django or similar), solid foundation in machine learning and statistics with production experience, comfort with ambiguity, and willingness to work across domains are required. Familiarity with LLMs, search/recommendation systems, or classification models is a bonus.

What benefits does Mercor offer?

Benefits include a generous equity grant vested over 4 years, a $20K relocation bonus if moving to the Bay Area, a $10K housing bonus if living within 0.5 miles of the office, a $1K monthly stipend for meals, free Equinox membership, and health insurance.

What makes a strong candidate for this role at Mercor?

Mercor seeks a strong generalist engineer with curiosity and rigor to tackle diverse problems, blending backend engineering, applied ML, and the ability to wear multiple hats across the stack.

Mercury

Banking services for startups and founders

About Mercury

Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$146.8MTotal Funding

DEBTCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees