Senior Machine Learning Engineer (Remote)

Benefits

Parental leave

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Non-birth-parent leave

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Mental health support

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Relocation assistance

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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

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 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

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Where they hire

State eligibility is not yet verified.

About this role

Senior Machine Learning Engineer (Remote) New York Office | Remote The Role We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday. We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr. You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction. What You'll Do.. - Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world - Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services. - Drive forward audio and text capabilities within the ML team - Work with some of the brightest minds in signal processing If This Describes You.. - A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field - 5 + years experience in Python - 3+ years experience in machine learning research, with a focus on speech - 3+ years experience training or deploying neural networks - Significant

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