Machine Learning Engineer I

Responsibilities

• Build, train, evaluate, and deploy machine learning models under the guidance of senior engineers
• Support the development of ML pipelines for training, fine-tuning, deployment, and monitoring
• Work with large-scale, real-world datasets across consumer, content, and enterprise systems
• Contribute to LLM, Generative AI, retrieval, ranking, recommendation, and personalization use cases
• Assist in building agentic workflows that allow AI systems to interact with tools, APIs, and internal platforms
• Evaluate model performance using appropriate metrics, validation methods, and reproducibility practices
• Monitor deployed models for quality, reliability, drift, latency, and business impact
• Collaborate with cross-functional teams to integrate AI capabilities into FOX applications
• Participate in code reviews, documentation, testing, and system design discussions

Requirements

• Strong foundation in machine learning, statistics, computer science, or applied data science
• Experience building and evaluating ML models through coursework, research, internships, projects, or professional experience
• Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn
• Familiarity with model evaluation, validation metrics, bias checks, and reproducibility practices
• Exposure to LLMs, prompt engineering, embeddings, vector databases, or retrieval-augmented generation
• Understanding of software engineering fundamentals, including version control, testing, and working with APIs
• Demonstrated use of AI-assisted tools to accelerate technical workflows while validating outputs
• Bias toward experimentation, measurable outcomes, and continuous learning
• Collaborative mindset and ability to work in a fast-paced, cross-functional environment

Qualifications

• Curiosity about how models behave in production environments
• Nice to have: Experience deploying models into production systems, exposure to recommendation systems, ranking, personalization, or search, familiarity with cloud platforms or ML infrastructure such as AWS, GCP, Azure, Databricks, or Snowflake, experience with LLM orchestration frameworks, function calling, or tool use, familiarity with data pipelines, distributed systems, or streaming data, contributions to open-source projects, technical demos, research, or applied ML products

Skills

• Machine Learning
• Python
• Model Evaluation
• Cloud Platforms
• LLM Orchestration
• Data Pipelines
• Recommendation Systems
• Search

Benefits

• Annual Discretionary Bonus
• Variety of Benefits Including Medical/Dental/Vision Insurance
• 401(k) Plan
• Paid Time Off
• Other Benefits in Accordance with Applicable Plan Documents

Pay

$74,000.00 - $130,000.00 annually

Schedule

Not specified

Company Information

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $74,000.00-130,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.