ML Infrastructure Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

ML Infrastructure Engineer New York City Office | OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They'll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION As the first and founding ML Operations Engineer at Tennr, you'll play a crucial role in building and iterating on foundational Machine Learning and AI systems. You'll own building machine learning training and inference pipelines that can handle increasing traffic demands and proliferation of product surface as we grow. You will be critical in ensuring our AI-driven healthcare platform is powered by robust, scalable, and efficiently deployed models. Our Machine Learning team owns and develops multiple in-house, proprietary VLMs, LLMs, and other models that are purpose-built for the ambitious problems we are solving in the healthcare space. This is not a role where you are repackaging and wrapping old innovations, but an opportunity to be on the cutting edge of experimentation and productization of net new capabilities. You'll make impactful contributions and influence fundamental elements of our ML and data systems, expanding Tennr's ability to rapidly iterate

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