Machine Learning Engineer Healthcare AI – San Francisco, CA

Are you passionate about harnessing the power of artificial intelligence to transform healthcare? We are seeking a skilled Machine Learning Engineer to join our innovative Healthcare AI team in San Francisco, CA. This is a unique opportunity to apply cutting-edge machine learning techniques to improve patient outcomes, streamline medical workflows, and advance precision medicine. If you thrive in a collaborative environment focused on impactful solutions, this role is made for you.

Drive AI Innovation in Healthcare Technology

A leading Healthcare AI company based in San Francisco, CA is looking for a Machine Learning Engineer to spearhead the development and deployment of AI-driven healthcare applications. The ideal candidate will have deep expertise in machine learning algorithms, healthcare data, and model deployment. If you are motivated by solving complex medical challenges using scalable AI solutions, and eager to make a difference in the health sector, this opportunity offers a meaningful career path.

Key Responsibilities of the Machine Learning Engineer – Healthcare AI

Design and Develop Machine Learning Models: Build, train, and optimize machine learning models tailored to healthcare data, including electronic health records, medical images, and genomic datasets to solve clinical and operational challenges.

Data Preparation and Analysis: Collaborate with data scientists and engineers to preprocess, clean, and analyze large-scale, heterogeneous healthcare datasets, ensuring data quality and consistency for robust model performance.

Model Deployment and Monitoring: Implement scalable AI solutions into production environments, monitor model performance, and perform continuous tuning to ensure accuracy, reliability, and compliance with healthcare standards.

Cross-Functional Collaboration: Work closely with clinicians, researchers, product managers, and software engineers to translate clinical needs into AI-driven solutions that enhance patient care and healthcare workflows.

Research and Innovation: Stay updated with the latest advancements in machine learning and AI technologies relevant to healthcare, experimenting with new algorithms and approaches to improve model effectiveness and interpretability.

Compliance and Security: Ensure all AI models and data handling processes comply with healthcare regulations such as HIPAA and maintain strict data privacy and security standards.

Documentation and Reporting: Prepare detailed documentation of model development processes, validation results, and AI system performance to support regulatory submissions and internal knowledge sharing.

Problem Solving and Troubleshooting: Identify and resolve technical issues during data processing, model training, and deployment to maintain seamless AI system functionality in a healthcare setting.

What the Client is Looking for in You

As a Machine Learning Engineer in Healthcare AI, the client seeks a highly skilled and innovative professional with a strong background in machine learning and a passion for improving healthcare outcomes through technology. You should be a problem-solver who thrives in fast-paced, interdisciplinary environments and is committed to developing impactful AI-driven healthcare solutions.

Expertise in Machine Learning and Healthcare Data

The client is looking for an engineer with proven experience designing and implementing machine learning models, especially in the healthcare domain. You should be comfortable working with complex, sensitive datasets such as electronic health records, medical imaging, or genomic data, and adept at preprocessing, feature engineering, and model evaluation tailored to healthcare applications.

Strong Technical and Analytical Skills

You must have solid skills in machine learning frameworks, programming (Python, TensorFlow, PyTorch, etc.), and data science methodologies. The ideal candidate will demonstrate the ability to optimize models for accuracy, efficiency, and scalability, and apply rigorous validation techniques to ensure robust, clinically meaningful results.

Collaborative and Communication-Oriented

This role requires close collaboration with clinicians, data scientists, product managers, and engineers. The client values a professional who can clearly communicate complex technical concepts to non-technical stakeholders, translate clinical problems into AI solutions, and contribute to cross-functional teams with agility and enthusiasm.

Commitment to Ethical AI and Regulatory Compliance

Given the sensitive nature of healthcare, the client expects a candidate who prioritizes data privacy, security, and compliance with healthcare regulations such as HIPAA. You should demonstrate an understanding of ethical AI practices and a commitment to building trustworthy, transparent machine learning systems.

Innovative and Research-Driven Mindset

The client values candidates who stay up-to-date with the latest developments in AI and healthcare technology. A proactive approach to exploring new algorithms, tools, and research findings to push the boundaries of what AI can achieve in healthcare will be highly regarded.

Problem Solver with a Focus on Impact

Finally, the client seeks a machine learning engineer who is driven by real-world impact—someone who sees AI as a means to improve patient care, streamline healthcare delivery, and ultimately save lives through intelligent, data-driven solutions.

FAQs About the Role – Machine Learning Engineer Healthcare AI

1. What are the key responsibilities of the Machine Learning Engineer in this role?

As a Machine Learning Engineer, you will design, develop, and deploy AI models specifically tailored for healthcare applications. You will work with complex medical datasets, collaborate with clinicians and data scientists, and ensure AI solutions are accurate, scalable, and compliant with healthcare regulations. Your role includes continuous model improvement, data preprocessing, and contributing to innovative healthcare AI projects.

2. What qualifications and experience are required for this position?

The ideal candidate should have a strong background in machine learning, data science, or a related field, with hands-on experience in healthcare AI applications. Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch is essential. Experience working with healthcare datasets, knowledge of HIPAA compliance, and familiarity with medical imaging or electronic health records are highly desirable.

3. What technical skills are essential for success in this role?

Key skills include expertise in machine learning algorithms, data preprocessing, model validation, and deployment. Familiarity with cloud platforms, containerization, and MLOps practices is beneficial. Strong analytical abilities and proficiency in working with healthcare-specific data formats and standards will set you apart.

4. What challenges can I expect in this role?

Challenges include handling noisy, incomplete, or heterogeneous healthcare data, ensuring model interpretability and fairness, and navigating strict regulatory and privacy requirements. You will need to balance innovation with robustness and compliance, while collaborating across clinical and technical teams to deliver impactful AI solutions.

5. How does this role impact healthcare outcomes?

Your work will directly contribute to improving patient diagnosis, treatment personalization, and operational efficiency in healthcare settings. By developing intelligent AI models, you will help clinicians make faster, more accurate decisions, ultimately enhancing patient care and health system performance.

6. What is the company culture and work environment like?

The company promotes a collaborative, mission-driven environment focused on innovation and ethical AI development. You will join a multidisciplinary team that values continuous learning, transparency, and a patient-first approach to technology. The workplace encourages creativity, diversity, and open communication.

What Remuneration Can You Expect from This Job?

As a Machine Learning Engineer specializing in Healthcare AI in San Francisco, CA, you can expect a competitive compensation package that reflects your advanced technical skills and impact on cutting-edge healthcare technology. The remuneration for this role typically includes:

1. Base Salary

The base salary for a Machine Learning Engineer in Healthcare AI generally ranges from $120,000 to $180,000 annually, depending on your experience, education, and the company’s size. Leading tech and healthcare AI companies in San Francisco may offer salaries at the higher end of this range or beyond.

2. Performance-Based Bonuses

In addition to your base salary, many companies offer annual performance bonuses linked to project milestones, successful deployments, and overall contribution to healthcare outcomes. These bonuses typically range from 10% to 30% of your base salary.

3. Equity & Stock Options

Healthcare AI companies often provide equity incentives such as stock options or restricted stock units (RSUs) to align your interests with company growth. Equity grants can represent a significant part of your total compensation, especially in high-growth startups or publicly traded firms.

4. Benefits & Perks

You can expect a comprehensive benefits package, often including:

Health, dental, and vision insurance
Retirement plans such as 401(k) with company matching
Flexible work arrangements and paid time off
Professional development stipends
Wellness programs and mental health support

5. Signing Bonuses & Relocation Assistance

For in-demand candidates, especially those relocating to San Francisco, companies may offer signing bonuses or relocation packages to ease the transition. These incentives can range from $5,000 to $30,000, depending on the company’s policies.

Total Compensation Potential

Considering base salary, bonuses, equity, and benefits, the total annual compensation for a Machine Learning Engineer in Healthcare AI can range from $140,000 to $250,000 or more, reflecting the specialized nature of the role and its importance in advancing healthcare innovation.

How to Apply

If you are an innovative and skilled Machine Learning Engineer passionate about applying AI to improve healthcare outcomes, we encourage you to apply for the Machine Learning Engineer – Healthcare AI role in San Francisco, CA. This is a unique opportunity to contribute to cutting-edge healthcare technologies, collaborate with expert teams, and drive impactful AI solutions in the medical field.

To apply, please submit your resume along with a cover letter highlighting your experience in machine learning model development, healthcare data analysis, AI deployment, and collaboration with clinical teams. Be sure to showcase your technical expertise, problem-solving skills, and commitment to ethical AI practices in healthcare.

This role offers a rewarding career path where you will directly influence patient care and healthcare innovation through intelligent, data-driven solutions. Apply today to join a forward-thinking Healthcare AI company and help shape the future of medicine.

For more information or to explore similar roles, visit our Healthcare AI Recruiting page.

Job Category: Healthcare AI

Job Type: Full Time

Job Location: San Francisco

Machine Learning Engineer Healthcare AI – San Francisco, CA