Live opening · Posted 5 days ago

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

TalentHop · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyTalentHop
LocationUnited States (Remote)
Salary$128.1K/yr - $201.3K/yr · Medical, Dental, Vision
Work modeYes
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

This is a Fully Remote Job
About Our Client:
This organization operates within the Artificial Intelligence (AI) and Machine Learning (ML) industry, focusing on delivering advanced AI products by building and maintaining scalable ML systems. It addresses the challenge of deploying reliable and efficient ML models that operate at scale and meet real-world demands for accuracy, latency, and reliability.
About the Opportunity:
The SENIOR MACHINE LEARNING ENGINEER role is critical for owning and developing key ML subsystems in production. This position involves designing practical solutions to ambiguous problems, shipping robust systems, and ensuring their reliable operation at scale. The role significantly contributes to the organization's AI product by turning research ideas into dependable production systems and mentoring peers to elevate engineering standards.
Responsibilities:
Build core ML systems powering proactive, long-horizon AI products
Manage end-to-end work including data preparation, training, evaluation, inference, and iteration
Convert research concepts into stable production systems
Debug model failures and system issues using production data
Iterate rapidly by shipping, measuring outcomes, refining, and repeating
Collaborate with research, product, and engineering teams to drive user impact
Mentor and review work of other ML engineers
Address production constraints such as latency, cost, reliability, and safety
Requirements:
Experience building and deploying ML systems used by real users
Required experience in Artificial Intelligence (AI)
Understanding of ML model behavior and failure modes in production
Ability to write production-quality code and system-level thinking
Proven capacity to work independently and take ownership through project completion
Strong learning ability and clear communication skills
Experience with GPU-based training and inference systems, JAX, Python, and PyTorch
Pay Range and Compensation Package:
USD 170000 - USD 190000 yearly
Benefits & Perks:
Medical insurance
Dental insurance
Vision insurance
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes

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