Sr. Machine Learning Engineer - (Remote - US)

Jobgether; United States; Remote; USD 142,000 - 196,000; Full time

Job summary

A fast-growing company is seeking a Sr. Machine Learning Engineer to develop and deploy ML models for innovative healthcare solutions. This role involves collaboration with cross-functional teams to create impactful products, with remote work available across the U.S.

Benefits

Comprehensive medical, dental, and vision insurance

Equity compensation

401(k) plan with company match

Unlimited paid time off

Monthly tech allowance

Free access to mental health services

Qualifications

• 4+ years of experience in industry-level ML engineering.
• Deep expertise in machine learning algorithms and deployment workflows.

Responsibilities

• Design, build, and maintain ML models for search and recommendation.
• Write production-ready Python code to integrate models.

Skills

Machine Learning

Python

Communication

Tools

Kubernetes

JVM languages

Job description

About Jobgether

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.

One of our companies is currently looking for a Sr. Machine Learning Engineer in the United States.

This is an exciting opportunity to join a fast-growing team at the intersection of technology and mental healthcare. As a Senior Machine Learning Engineer, you’ll develop and deploy machine learning models that power intelligent product features, from clinical decision-making tools to personalized recommendations. You’ll work closely with cross-functional teams to design scalable solutions, analyze outcomes, and bring impactful models into production. This is a highly collaborative role that combines technical expertise with a passion for innovation and real-world impact. Remote work is available anywhere within the U.S.

Accountabilities:

• Design, build, and maintain ML models for search, recommendation, and clinical support
• Write production-ready Python code to integrate models into real-time infrastructure
• Develop and manage robust data pipelines for collecting, labeling, and processing data
• Collaborate with product managers and clinical stakeholders to align ML solutions with user needs
• Partner with data scientists to analyze A/B tests and optimize model performance
• Contribute to system architecture decisions and help scale ML engineering best practices

• 4+ years of experience in industry-level ML engineering
• Deep expertise in machine learning algorithms and deployment workflows
• Strong coding skills in Python and experience with production systems
• Familiarity with real-time ML pipelines and online experimentation
• Strong communication skills and experience working across technical and non-technical teams
• Ability to prioritize impact-driven decisions in a fast-moving environment
• Preferred: Experience with Kubernetes, JVM languages (e.g. Kotlin), LLM applications, or Bayesian methods
• Experience working with sensitive healthcare data is a plus

• Competitive salary range: $142,000 – $196,000/year, depending on experience and location
• Comprehensive medical, dental, and vision insurance (plus FSA/HSA, life, and disability coverage)
• Equity compensation through discretionary restricted stock units
• 401(k) plan with company match
• Unlimited paid time off and generous parental leave
• Monthly tech allowance to support your remote setup
• Free access to mental health services, including therapy and coaching
• Regular perks and wellness initiatives to support your personal and professional well-being

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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