Member of Technical Staff (Applied AI)

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)

$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

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 (Applied AI) US, UK, Remote As a Member of Technical Staff on Applied AI, you will: - Productionize frontier AI models to solve complex real-world problems. - Collaborate closely with researchers and other teammates on the latest advancements in AI and ML. - Work closely with our customers to integrate our models into their technology stack. - Make direct business impact with a high level of product ownership. - Be a founding member of a fast-growing team and wear many hats. You may be a good fit, if you have: - An obsession with customers and a passion for solving practical (but sometimes ambiguous) real-world problems. - Experience as a machine learning engineer, ideally working on AI products for external customers. - Background as a technical founder or in a similar capacity. - Practical experience working with transformer models and LLMs. - An exceptional ability to communicate and work effectively with cross-functional teams. - Track records of owning problems end-to-end, and can learn fast and pick up new knowledge to get the job done. - 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

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