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Senior Machine Learning Engineer, Architecture

United States

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

As the Senior ML Architect specializing in agentic systems, you will strategically architect and lead the development of advanced ML agent-driven systems, ensuring seamless integration between our Machine Learning and AI/Data Platform teams. Your expertise will be pivotal in shaping our agentic system strategy, driving scalable architecture design, and fostering cross-team collaboration to deliver robust, efficient, and innovative ML solutions.

Key Responsibilities

Strategic Architecture & Leadership

  • Develop and articulate the strategic vision for agentic systems, aligning with broader business and technology objectives.
  • Architect and oversee the design of scalable, robust, and efficient agent-driven ML systems.
  • Collaborate directly with executive leadership and stakeholders to align technological strategy with organizational goals.

Agentic System Development

  • Lead the development, deployment, and scaling of sophisticated ML agent architectures, particularly leveraging advanced NLP models and LLMs.
  • Drive research and integration of state-of-the-art agentic technologies and methodologies to continuously enhance system capabilities.

Platform Integration & Collaboration

  • Serve as the primary liaison between the ML engineering team and AI/Data platform team, ensuring technical coherence, seamless integration, and alignment of goals.
  • Architect cross-functional solutions that effectively leverage shared data and infrastructure resources.

Automation and Infrastructure

  • Define and implement automated workflows and MLOps pipelines, focusing on agentic system lifecycle management (data collection, model training, deployment, monitoring, and retraining).
  • Oversee robust CI/CD pipelines and automation tools to enhance operational efficiency and model reliability.

System Monitoring & Optimization

  • Establish comprehensive monitoring frameworks to proactively track agent performance, system health, and data quality.
  • Identify opportunities and drive initiatives to optimize system performance, reduce latency, and manage operational costs effectively.

Mentorship & Technical Leadership

  • Provide mentorship and technical leadership, promoting best practices in ML architecture and agentic system development.
  • Foster a culture of innovation, collaboration, and continuous learning across teams.

Security, Compliance, and Governance

  • Ensure ML systems and agentic solutions comply with established security standards and data governance policies.
  • Help develop and enforce robust standards for privacy, security, and compliance.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, AI, Engineering, or a related field.
  • 5+ years of professional experience in ML architecture, MLOps, or related roles.
  • Proven expertise in designing and deploying complex agent-driven systems and large-scale ML models, including experience with LLMs and transformer architectures.
  • Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch.
  • Extensive experience with cloud platforms (AWS preferred) and container orchestration tools (Docker, Kubernetes).
  • Demonstrated knowledge of CI/CD pipelines, infrastructure as code (Terraform), and distributed computing technologies (Spark, Hadoop).
  • Experience with system monitoring and logging tools (e.g. MLFlow).

Preferred Qualifications

  • Deep expertise in transformer models, advanced NLP techniques, and agent-based AI methodologies.
  • Proven ability to lead technical strategy discussions and align technology with business goals.
  • Excellent communication skills, capable of clearly articulating complex technical strategies to stakeholders.
  • Prior experience in healthcare or
  •  health technology environments.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $150,000 to $170,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

 

 

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