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Sr. Machine Learning Engineer - (Remote - US) - job 1 of 2

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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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Average salary estimate

$169000 / YEARLY (est.)

min

max

$142000K

$196000K

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What You Should Know About Sr. Machine Learning Engineer - (Remote - US), Jobgether

Join Jobgether as a Sr. Machine Learning Engineer and immerse yourself in an exciting role that combines cutting-edge technology with the meaningful realm of mental healthcare! This remote position allows you to work from anywhere in the U.S., bringing flexibility to your professional life. In this role, you'll be tasked with developing and deploying machine learning models that will enhance intelligent product features aimed at improving clinical decision-making and providing personalized recommendations. You will collaborate with diverse teams to design scalable solutions and analyze outcomes, ensuring the models you build make a real impact in people's lives. Your day-to-day will involve writing robust Python code to incorporate your models into real-time infrastructures, managing data pipelines, and partnering with product managers and clinical experts to ensure alignment with user needs. If you have a passion for innovation, a strong coding background, and at least 4 years of experience in machine learning engineering, we want to hear from you! At Jobgether, you'll enjoy a competitive salary, comprehensive benefits, and a culture that prioritizes both personal and professional well-being. Don't miss your chance to be part of a growing team at the forefront of technological advancement in healthcare!

Frequently Asked Questions (FAQs) for Sr. Machine Learning Engineer - (Remote - US) Role at Jobgether

What are the key responsibilities of a Sr. Machine Learning Engineer at Jobgether?

As a Sr. Machine Learning Engineer at Jobgether, your primary responsibilities include designing and maintaining machine learning models for search, recommendation, and clinical support. You will write production-ready Python code, develop robust data pipelines, and collaborate with product managers and clinical stakeholders to ensure that machine learning solutions meet user needs effectively.