drjobs Senior Machine Learning Engineer

Senior Machine Learning Engineer

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1 Vacancy
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Job Location drjobs

Santa Monica, CA - USA

Yearly Salary drjobs

$ 150000 - 200000

Vacancy

1 Vacancy

Job Description

About Us

At SimplePractice our team is dedicated to improving the health and wellness industry by building a suite of innovative solutions for practitioners and their clients. Our product supports practitioners on their clinical journey to becoming licensed helps them manage their business and practice once theyre up and running and enables new clients to discover and interact with practitioners. Taking a practitioner-first approach in everything we do makes it possible for health and wellness practitioners to devote more time to their clients while they use SimplePractice to start grow and maintain a successful private practice.

The Role

Our team is dedicated to empowering clinicians through data-driven innovations. We combine rigorous data science with practical engineering to build systems that make daily workflows more efficient insightful and intuitive. Our responsibilities span everything from data ingestion and transformation to advanced ML model deploymentensuring clinicians have the right information at the right time to deliver exceptional care.

We thrive on curiosity collaboration and continuous learning. By working closely with Product Design and Engineering we aim to create solutions that genuinely enhance clinician experiences. If you love tackling challenging problems and turning data into meaningful outcomes youll find a welcoming and dynamic environment here.

As a Senior Machine Learning Engineer youll be at the forefront of using data to shape and optimize clinician workflows. Your day-to-day will blend creative problem-solving with hands-on technical workdesigning experiments building robust models and collaborating with cross-functional teams to bring new ideas to life. Youll be instrumental in guiding data initiatives that drive our product roadmap helping us create intuitive features and tools that clinicians rely on every day.

Youll also have plenty of chances to sharpen and share your expertise. We value mentorship open communication and pushing the boundaries of what ML can do in a real-world healthcare context. Whether youre fine-tuning a model presenting insights to stakeholders or brainstorming new product features your work will have a direct and meaningful impact.

Key Responsibilities

  • Develop & Deploy ML Pipelines
    • Build end-to-end solutionsfrom data exploration to model deploymentthat enhance clinician experiences
    • Optimize and maintain models for performance reliability and long-term scalability
  • Lead Advanced Analysis
    • Conduct deep-dive analyses uncovering insights that drive product decisions
    • Collaborate with product teams to turn data into actionable next steps
  • Cross-Functional Collaboration
    • Work closely with Engineering Product and Design to ensure ML features are intuitive impactful and aligned with clinician needs
    • Communicate complex results clearly to both technical and non-technical partners
  • Mentor & Advocate Best Practices
    • Guide less experienced team members sharing knowledge on model development MLOps and data engineering
    • Champion a culture of experimentation continuous learning and proactive problem-solving
  • Drive Innovation
    • Stay current with emerging ML tools and technologies integrating new techniques that elevate our product capabilities
    • Look for creative ways to leverage data to make clinicians lives easier more efficient and more effective

Desired Skills & Experience

  • Proficiency in Python (NumPy Pandas scikit-learn)
  • Strong skills in SQL (window functions advanced queries)
  • Hands-on experience with DBT for data transformation
  • Familiarity with Snowflake or similar data warehouses
  • Experience with AWS (or other cloud platforms) for model deployment

Bonus Points

  • Exposure to Outerbounds or similar ML orchestration platforms
  • Experience with Argo Flows for CI/CD
  • Familiarity with Kubernetes for container orchestration

Base Compensation Range

$150000 - $200000 annually

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The above represents the expected base compensation range for this job requisition. Ultimately in determining your pay well consider many factors including but not limited to skills experience qualifications geographic location and other job-related factors.

Benefits

We offer a competitive benefits program including:

  • Medical dental vision life & disability insurance
  • 401(k) plan with company match
  • Flexible Time Off (FTO) wellbeing days paid holidays and summer Fridays
  • Mental health resources
  • Paid parental leave & Backup Care
  • Tuition reimbursement
  • Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (SimplePractice or us or we or our). Please note that when you submit your resume or application materials to us for employment purposes you are subject to theSimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices please contact us at.


Required Experience:

Senior IC

Employment Type

Full-Time

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