Model Deployment

Model Deployment Developer Jobs

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Today

Machine Learning Engineer

Allocate Palo Alto, CA 🇺🇸 Remote

Palo Alto, CA

Today

$165k - $185k/yr Full time Ai Ml Artificial Intelligence Large Language Models

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Job Description

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.

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