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Catalyst Developer Jobs in New York (NOW HIRING)

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: ML Engineer (Coding Agent Experience ...

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Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Electrical Engineering Expert Type:

New

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Mechanical Engineering Expert Type:

New

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Chemical Engineering Expert Type:

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Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: ML Engineer (Coding Agent Experience ...

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Software Engineering Expert Type:

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Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineer (Coding Agent Experience ...

Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Backend Engineer (Coding Agent ...

Showing results 41-60

Catalyst Developer information

What is the difference between Catalyst Developer vs Data Engineer?

AspectCatalyst DeveloperData Engineer
Required CredentialsBachelor's in Computer Science or related field, certifications in data processingBachelor's in Computer Science, certifications in data architecture or cloud platforms
Work EnvironmentData processing teams, software development environmentsData infrastructure teams, cloud platforms, big data environments
Employer & Industry UsageTech companies, data-driven organizationsTech firms, finance, healthcare, and other data-intensive industries
Common Search & ComparisonOften compared for data processing roles, similar skill setsRelated but broader data infrastructure roles

While both Catalyst Developers and Data Engineers work with data systems, Catalyst Developers focus on building and optimizing data processing pipelines using specific tools like Apache Spark, whereas Data Engineers design and maintain the overall data architecture and infrastructure. Understanding these distinctions helps employers and job seekers target the right roles based on skills and responsibilities.

What job categories do people searching Catalyst Developer jobs in New York look for? The top searched job categories for Catalyst Developer jobs in New York are:
What cities in New York are hiring for Catalyst Developer jobs? Cities in New York with the most Catalyst Developer job openings:
Infographic showing various Catalyst Developer job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

ML Engineer - AI Coding Expert

Mercor

New York, NY • Remote

$85/hr

Full-time

Posted 2 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: ML Engineer (Coding Agent Experience)
Type: Contract
Compensation: $85/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
  • Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications.
  • Identify bugs, edge cases, performance issues, and failure modes.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic ML engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional machine learning engineering experience.
  • Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated machine learning implementations and technical tradeoffs.

Preferred

  • Experience deploying ML systems to production.

Compensation & Legal

  • $400 per accepted task
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.