Machine Learning Engineer

Allocate is seeking a Machine Learning Engineer to build, train, and deploy production ML models, establish evaluation and monitoring loops, and collaborate across teams to ship ML powered capabilities.

Responsibilities

• Build, train, and improve machine learning models for production use.
• Develop evaluation loops and feedback mechanisms that measurably improve model performance over time.
• Stand up tooling to measure, monitor, and track model quality.
• Evaluate new models and techniques, introducing the best options into production.
• Collaborate cross-functionally to deliver ML powered capabilities.

Requirements

• 4+ years of applied ML or LLM engineering in production with strong Python.
• Experience taking models from prototypes 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 adopt new tools as they emerge.
• Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

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

Essential Values & Culture

• Providing our clients with a world-class experience is the top priority; we strive for extraordinary response times, proactive communication, and a top-tier experience in everything from product strategy to offline communications.
• Challenge convention by questioning barriers and exploring how viable ideas can be implemented.
• Commitment to continuous improvement and personal growth.
• Meritocracy over politics; rewards are based on results.
• Civil discourse is encouraged; open, respectful, and curious conversations help arrive at the best decisions.
• Embrace technological change by adopting tools and techniques that enhance speed and intelligence, especially around AI and automation.

Additional Details

• Location: Palo Alto, CA (remote).
• Location note: Fully Remote (I-9 eligible candidates considered).
• Employment: Full-time
• Seniority: Senior professional
• Salary: USD 165,000 - 185,000 per year
• Compensation notes: Actual compensation will be determined based on location, skills, experience, qualifications, interview performance, internal equity, and market data. Candidates in higher cost-of-living markets, including the San Francisco Bay Area, may be considered at the higher end of the range.
• Benefits: Medical, dental, and vision; 401(k); PTO
• Travel: Travel required for team and department offsites. An in-person interview may be required. A broadband internet connection is required. Compliance with Allocate's Code of Ethics is required.