Senior Applied ML/AI Engineer

Senior Applied ML/AI Engineer (Remote USA)

*This role requires expert level in development and deployment of machine learning models*

*US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements*

*You must be domiciled in the U.S. (must live permanently and maintain home address in the US)*

*As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID*

Responsibilities

• Lead the design and development of ML and NLP systems that power search, navigation, and agentic AI experiences.
• Innovate around our core iterative reasoning, retrieval, and search systems with agentic AI
• Develop, fine-tune, evaluate, and optimize machine learning and language models for production use.
• Design and build complex systems involving knowledge graphs, semantic representations, and advanced entity detection/extraction.
• Collaborate closely with product, platform, and engineering teams to own AI/ML solutions end-to-end, from design through deployment and iteration.
• Make sound technical decisions by understanding algorithmic complexity, model performance, latency, and production cost tradeoffs.
• Build, deliver, and maintain enterprise-grade products that meet high standards for quality, reliability, and speed.
• Support production systems, including debugging and resolving issues in distributed systems to ensure uptime and reliability.
• Clearly communicate technical decisions, tradeoffs, and limitations to both technical and non-technical stakeholders.
• Stay current with the latest advances in AI, NLP, and machine learning, and apply them thoughtfully to improve our products and platform.

Required Skills and Qualifications

• US Citizenship or Green Card required due to US Government contract requirements.
• Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field
• 7+ years of experience in ML/MLOps engineering with a strong track record of building models and systems for large-scale production environments.
• Proven experience designing, building, evaluating, and optimizing agentic AI systems, including reasoning loops, tool use / tool calling, context management, multi-agent or workflow-based systems
• Strong systems thinking with an understanding of runtime complexity, infrastructure costs, and production scalability.
• Strong communication skills and the ability to collaborate effectively across cross-functional teams.
• Comfortable supporting production systems and debugging challenges in distributed environments.
• Demonstrated ability to use AI tools to accelerate research and development workflows.
• Growth mindset and low ego: eager to learn new tools and technologies, adapt quickly, and change course when needed.
• Strong commitment to collaboration, psychological safety, and technical excellence.

Preferred Qualifications

• Startup experience or comfort working in 0->1 product environments.
• Experience integrating ML models and data-driven algorithms into larger system architectures.

• *LI-REMOTE
• Compensation Information $220,000 - $265,000 USD