Cambia Health Solutions · 1 day ago
Manager Machine Learning (Head of ML)
Yakima, WA
Full-time
Onsite
Mid, Senior Level
$175K/yr - $210K/yr
3+ years exp
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Responsibilities
Leads and manages a team of Machine Learning Scientists, fostering a collaborative and inclusive team culture that encourages innovation, growth, and continuous learning.
Oversees the development and deployment of ML, NLP and Gen AI models & pipelines, ensuring that they meet business requirements and are technically sound.
Oversees the planning and execution of AI projects, ensuring successful delivery and business outcomes.
Collaborates with stakeholders to define project requirements, develop project plans, and ensure effective resource allocation.
Provides technical oversight and guidance on AI projects.
Reviews and approves technical designs, prototypes, and models.
Communicates technical results and insights to non-technical stakeholders, including executives, product managers, and clinicians.
Develops and maintains relationships with key stakeholders to ensure effective collaboration and buy-in.
Ensures compliance with Responsible AI guidelines in the development and deployment of machine learning models.
Promotes fairness, transparency, and accountability in all aspects of machine learning initiatives.
Qualification
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Required
Bachelor’s degree (masters or PhD preferred) in Computer Science, Engineering, or a related quantitative field.
Proven experience leading technical teams and managing projects related to NLP, with a track record of delivering high-impact projects and driving business outcomes.
Minimum of 3 years of professional experience in NLP, with a strong background in machine learning, deep learning, and text processing.
Understanding and experience working with foundation models and generative AI. Experience using different frameworks and libraries including but not limited to huggingface, Langchain, Llamaindex, vector databases.
Strong mathematical foundation and understanding of the concepts underlying classic machine learning, deep learning, statistical modeling, and data analysis. Expert-level familiarity with common machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
Experience in and deep intuition for applying ML techniques and approaches to solve problems. Strong foundation in model evaluation, including metric development and selection.
Solid understanding of software engineering principles, data structures, and algorithms. Expert-level proficiency in Python. Proficient in SQL.
Experience deploying ML models in production systems. Exposure to containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, Azure, GCP). Strong grounding in model monitoring and MLOps.
Understanding of how to structure machine learning pipelines. Familiarity with data preprocessing techniques and tools. Experience with SQL and/or python data processing libraries (e.g., Pandas, NumPy).
Strong analytical thinking and problem-solving abilities to contribute to data analysis and experimental evaluations. Attention to detail and an eagerness to learn from experimental results.
Good communication skills to collaborate effectively with cross-functional teams. Willingness to collaborate and learn with team members.
Passion for staying up-to-date with the latest advancements in machine learning and data engineering. Proactive in learning new tools, techniques, and frameworks to drive innovation.
Strong leadership, coaching, and mentorship abilities. Ability to inspire and motivate team members towards achieving goals and delivering high-quality results.
Preferred
Streamlining prior authorization and appeal reviews using GenAI and NLP.
Personalizing member engagement to promote the health and well-being of our members.
Identifying members at risk for certain conditions to offer them opportunities for high-value care.
Previous experience in healthcare is extremely helpful but not required.
Benefits
Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
Annual employer contribution to a health savings account.
Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
Award-winning wellness programs that reward you for participation.
Employee Assistance Fund for those in need.
Commute and parking benefits.
Company
Cambia Health Solutions
Cambia Health Solutions is a nonprofit total health solutions company based in the Pacific Northwest/Intermountain region, serving
5,001-10,000 employees
H1B Sponsorship
Cambia Health Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (12)
2021 (21)
2020 (20)
Funding
Current Stage
Late StageLeadership Team
Jared L. Short
President & CEO
Mike Rains
Chief Financial Officer
Recent News
Business Wire
2024-04-26
Business Wire
2024-04-26
2024-02-20
Company data provided by crunchbase
