Senior Machine Learning Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer in the United States.

This role offers an exciting opportunity to apply advanced machine learning expertise to transform healthcare delivery. You will design, implement, and optimize scalable AI and ML systems that directly impact patient care and operational efficiency. Collaborating across Product, Clinical Operations, and Data teams, you will help integrate complex healthcare data into actionable insights and build innovative AI pipelines. This position emphasizes hands-on development, strategic decision-making, and responsible AI practices while fostering a collaborative and high-performing engineering culture. Your work will enable the organization to deliver compassionate, data-driven care at scale, making a tangible difference in the lives of patients.

• Lead AI and ML initiatives, designing and implementing production-grade machine learning systems and pipelines.
• Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability.
• Assemble, analyze, and interpret large, complex datasets to meet functional and strategic requirements.
• Establish and promote data engineering best practices and standards for efficient access and use across teams.
• Collaborate with cross-functional teams including Product, Clinical, Data, and Design to drive innovation and efficiency.
• Implement evaluation frameworks to rigorously assess model performance, accuracy, and fairness.
• Continuously improve ML infrastructure for scalability, stability, and security.
• Create internal tools and libraries to enhance workflow efficiency for analytics and data science teams.

• Graduate degree in Computer Science, Statistics, or a related quantitative field.
• 5+ years of software engineering experience with a focus on production-grade ML systems, backend infrastructure, or MLOps.
• Strong proficiency in Python and SQL, with experience in efficient, maintainable ML code development.
• Hands-on experience with modern LLM models, transformers, and deploying ML models in production environments.
• Experience with ML pipeline development, model versioning, experimentation, and reproducibility best practices.
• Familiarity with cloud ML tools (e.g., AWS SageMaker, Bedrock) and data infrastructure.
• Excellent analytical, problem-solving, and communication skills, with the ability to work in a remote, cross-functional team.
• Healthcare experience is valuable but not required; entrepreneurial mindset and ability to explain complex technical concepts.

• Competitive base salary ($175,000–$200,000) plus equity and additional benefits.
• Comprehensive healthcare, dental, and vision coverage.
• Paid time off and flexible work arrangements; remote-first environment.
• Professional development opportunities and access to innovative technologies.
• Collaborative, mission-driven culture focused on making a tangible impact on healthcare outcomes.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

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