Machine Learning Engineer – Remote (US)

Location: Remote within US Time Zones (or hybrid with periodic in-person retreats)
Employment Type: Full-time
Function: Engineering

About the Company

Our client is an AI-driven company focused on building next-generation research assistants. Their mission is to expand access to high-quality decision-making by making reasoning faster, more scalable, and more affordable.

The company specializes in decomposing complex tasks into understandable steps, emphasizing safe and scalable AI development through process-based supervision.

About the Role

The Machine Learning Research Engineer will join a high-caliber engineering team focused on solving challenging real-world problems in machine learning and natural language processing.

Key responsibilities include:

• Designing and orchestrating multi-step workflows using language models.
• Curating fine-tuning datasets to improve model performance on complex reasoning tasks.
• Developing evaluation metrics to measure model and system improvements.
• Scaling semantic search systems to handle 100,000+ documents.

Candidate Profile

The ideal candidate will have:

• Strong software engineering skills, including system design and abstraction building.
• Deep familiarity with language models (training, fine-tuning, evaluation) or related fields such as semantic search and information extraction.
• Experience solving complex technical challenges creatively and applying recent research to practical use cases.
• A startup-oriented mindset, with a willingness to iterate quickly, experiment, and adapt.
• Strong knowledge of core concepts like transformers, tokenizers, Python decorators, and generic types.

Compensation and Benefits

• Base Salary Range: $195,000 – $250,000+, depending on experience and seniority level.
• Equity: Competitive equity packages available.
• Benefits:
  • Fully covered health, dental, vision, and life insurance for employees (generous family coverage available).
  • 401(k) with a 6% employer match.
  • Flexible vacation policy (minimum 20 days recommended, plus company holidays).
  • $2,000 initial device budget plus monthly equipment allowance.
  • $500 annual personal development budget.
  • Administrative support for both work and personal tasks.
  • Commuter benefits, relocation bonuses, and more.

Work Environment

• Remote-first role within U.S. time zones.
• Quarterly in-person retreats and co-working weeks (primarily in California).
• Team members are expected to attend approximately one week of in-person collaboration every six weeks.

How to Apply

If you are passionate about building scalable AI systems and excited by the opportunity to work on groundbreaking research challenges, please submit your resume today.

This opportunity is managed exclusively by our agency on behalf of the client.