Senior Machine Learning Engineer

6 days ago

Boston, United States KE Technology Full time

Job Title: Senior Machine Learning Engineer - HealthTech Solutions

Location: Boston, Massachusetts [Hybrid work options available]

Company Overview:

As a leading HealthTech company based in Boston, our client develops innovative tools for programming living cells, combining mammalian synthetic biology, computer-aided design, and machine learning to improve the creation and production of biologics and gene therapies.

Job Description:

We are seeking an experienced Senior Machine Learning Engineer to spearhead the development of machine learning models focused on optimizing wellness and fitness data analysis. This position requires a blend of technical expertise, leadership capabilities, and a passion for innovation within a collaborative environment.

Responsibilities:

- Lead the development and implementation of advanced machine learning algorithms to analyze large datasets in the wellness and fitness domain.

- Utilize TensorFlow, Python, and Kubernetes to create scalable and efficient machine learning solutions.

- Mentor junior engineers and collaborate with cross-functional teams to integrate machine learning models into broader tech platforms.

- Stay updated on new trends and technologies in machine learning and apply these in developing cutting-edge solutions.

- Ensure the creation of robust, scalable, and maintainable code that supports real-time data processing.

- Oversee the design of APIs that facilitate seamless access to machine learning insights for fitness and wellness applications.

Qualifications:

- Extensive experience as a Machine Learning Engineer or in a similar senior role, ideally with a focus on wellness or fitness applications.

- Expertise in TensorFlow, Python, and Kubernetes, with a proven track record in the health technology sector.

- Deep understanding of machine learning principles, algorithms, and tools, especially as applied to wellness data.

- Experience with large-scale data processing and distributed systems.

- Excellent leadership skills and the ability to mentor and guide a team.

- Strong problem-solving skills and the ability to work in a team-oriented, collaborative environment.

- Minimum Masters degree in Computer Science, Data Science, Engineering, or a related field required; PhD preferred.

What We Offer:

- Competitive salary and benefits package.

- A dynamic, innovative, and supportive work environment.

- Opportunities for professional growth and advancement.

- Access to cutting-edge technology and tools.

- Flexible work hours with hybrid work options.

Our client is an Equal Opportunity Employer.

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