Member of Technical Staff (ML)

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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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Staff Plus 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

Not verified

Weekend work

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Company

Company stage

Early From the posting source checked Jun 20, 2026

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

Member of Technical Staff (ML) US, UK, Remote As a Member of Technical Staff on Machine Learning, you will: - Contribute to the entire development cycle of our cutting-edge large deep learning models. - Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products. - Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications. - Join us at an exciting moment, wear many hats and help us build something from the ground up! You may be a good fit, if you have: - Experience with training and evaluating large deep learning models. - Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX). - Proven track record of applying and implementing machine learning algorithms into software applications at scale. - The ability to build in a fast-paced environment under some uncertainty. - A kind and collaborative nature and work style. Reka's Mission Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade. Why Reka? - An Elite Team : Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge

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