This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Machine Learning in United States.
This role offers the opportunity to build and scale advanced machine learning systems that directly support innovation in healthcare technology and clinical intelligence. You will contribute to the design of robust ML infrastructure, production-grade AI pipelines, and scalable model deployment systems used across multiple products. Working within a collaborative and highly technical environment, you will partner closely with data scientists, software engineers, and platform teams to deliver impactful machine learning solutions. The position is ideal for engineers who enjoy solving complex technical challenges while improving developer experience and operational reliability. You will play a key role in shaping reusable ML architecture, accelerating experimentation, and driving production excellence across the organization. This fully remote opportunity combines meaningful impact, technical ownership, and the ability to influence the future of AI-driven healthcare systems.
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Accountabilities:
- Build, deploy, and scale machine learning-powered features and services across multiple product environments.
- Design and maintain reusable ML infrastructure, frameworks, and development workflows that accelerate machine learning initiatives.
- Manage the end-to-end lifecycle of machine learning models, including deployment, monitoring, optimization, and production maintenance.
- Collaborate closely with data scientists, application engineers, and data engineering teams to integrate AI solutions into production systems.
- Develop internal tools and automation processes that improve efficiency, reliability, and productivity for machine learning teams.
- Contribute to the architecture and scalability of cloud-based ML platforms and data processing pipelines.
- Support model monitoring, performance evaluation, and operational best practices to ensure reliability in production environments.
- Help drive technical standards, engineering best practices, and cross-functional collaboration across AI and platform initiatives.
Requirements:
- 5+ years of experience in software engineering, machine learning engineering, or related AI-focused technical roles.
- Strong proficiency in Python and SQL, with hands-on experience using machine learning frameworks such as PyTorch or TensorFlow.
- Proven experience managing the complete machine learning production lifecycle, including deployment, release management, and post-production monitoring.
- Experience integrating machine learning models into scalable production applications and distributed systems.
- Solid understanding of cloud infrastructure and machine learning services, preferably within AWS environments.
- Familiarity with modern data engineering tools and workflows, including orchestration, data transformation, and pipeline automation technologies.
- Experience collaborating within cross-functional and agile development teams.
- Strong communication, problem-solving, and collaboration skills with a focus on delivering high-quality engineering outcomes.
- Experience with NLP, deep learning, LLM deployment, or healthcare-related AI systems is considered a strong advantage.
- Previous startup experience, open-source contributions, or technical leadership exposure is a plus.
Benefits:
- Competitive base salary ranging from $190,000 to $220,000 USD.
- Fully remote work environment within the United States.
- Comprehensive medical, dental, and vision coverage with significant employer premium contributions.
- Generous paid parental leave program supporting growing families.
- Unlimited paid time off plus company holidays.
- 401(k) retirement plan with Traditional and Roth options, including employer match contributions.
- Fast-paced, low-bureaucracy environment focused on ownership, innovation, and meaningful impact.
- Opportunity to work alongside highly collaborative, mission-driven, and technically strong teammates.
- Exposure to cutting-edge AI, machine learning, and healthcare technology initiatives.
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How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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