Allocate is hiring a Senior Machine Learning Engineer for a fully remote role with a base salary range of $165,000 to $185,000. You will build, train, and deploy production ML models, establish evaluation and monitoring loops, and collaborate across teams to ship ML powered capabilities. We provide medical, dental, and vision coverage, a 401(k), and paid time off. Our culture prioritizes delivering a world class client experience, continuous improvement, meritocracy, civil discourse, and embracing AI and automation to stay fast and effective.

Responsibilities

Design, train, and refine production ready machine learning models.
Develop evaluation and feedback loops that measurably boost model performance over time.
Build tooling to measure, monitor, and track model quality in live environments.
Evaluate new models and techniques, bringing the strongest candidates into production.
Collaborate cross functionally to ship ML powered capabilities.

Requirements

4+ years of applied ML or LLM engineering in production, with strong Python.
Experience taking models from prototype to reliable production systems.
Hands-on model fine tuning and rigorous evaluation discipline.
Proficiency with Git and version control systems.
Hands-on experience with AI assisted development tools such as Claude Code, OpenAI's Codex, or Cursor, and a demonstrated ability to incorporate new tools as they emerge.

Technologies

Python
Git
Claude Code
OpenAI's Codex
Cursor

Benefits

Medical, dental, and vision
401(k)
PTO

Nice to have

Applied NLP, computer vision, or multimodal models
MLOps and model monitoring tooling
Background in fintech or financial data

Culture and values

Providing our clients with a world class experience is our number one priority, delivering fast responses, proactive collaboration, and top tier work across product strategy and communications.
Challenge convention by questioning ideas to determine how a viable plan can be put into motion.
Commitment to continuous improvement and personal growth on the learning curve.
Meritocracy over politics, with rewards based on results.
Civil Discourse is embraced; open, respectful, and curious conversations lead to the best decisions.
Embrace technological change by adopting tools that increase speed and capability, especially around AI and automation.

Details

Location: Fully Remote (all I-9 eligible candidates will be considered).
Employment: Full-time. Seniority: Senior professional.
Salary: Base range $165,000 to $185,000; final compensation depends on location and other job-related factors, with higher end possible in the SF Bay Area and other high cost markets.
Benefits: Medical, dental, and vision; 401(k); and PTO.
Travel: Travel required for team and department offsites.
Interview: An in-person interview may be required during the process.
Requirements: Broadband internet connection required; compliance with Allocate's Code of Ethics.

Machine Learning Engineer

Job Description