data systems Jobs

3 open roles mentioning data systems

Senior Software Engineer

1mo ago
A

Amplitude

Statsig is building an Enterprise Engineering team for engineers who want unusually direct ownership of high-stakes customer outcomes. This role is akin to a Forward Deployed Engineering team, working extremely close to customers and tackling their most critical technical problems. Unlike traditional FDE roles, Enterprise Engineering is responsible for a customer's technical success throughout their entire journey, from initial questions and investigations to shipping fixes and features, and remaining accountable through resolution. This is a software engineering role with a tight customer feedback loop, ideal for a pragmatic generalist with backend or infrastructure depth who enjoys ambiguous problems, production systems, fast decisions, and immediate impact.

$165k - $247k

San Francisco remote FullTime
AI AgentsAPIsdistributed systems +7 more

Forward Deployed Engineer

5mo ago
C

Claim Health

Claim Health is seeking a Forward Deployed Engineer to bridge the gap between engineering, product, and customer operations. This role involves working directly with customers to understand and solve complex operational challenges by building production-grade software. You will be responsible for writing production code, owning deployments, designing workflows, and creating new platform abstractions. The position offers significant ownership, customer proximity, and the opportunity to define new categories of workflow automation within the post-acute care sector.

New York City onsite FullTime
AI AgentsEmbeddingsfrontend +8 more

Member of Technical Staff, RL Research & Environments

1y ago
M

Magic.dev

As a Research Engineer on the RL Research & Environments team, you will design and operate the data, evaluation, and environment systems that improve model capabilities after pre-training. This role focuses on post-training: identifying capability gaps, building targeted datasets, designing reward signals, and running iterative training loops that measurably improve user-facing behavior. You will own the infrastructure and experimental workflows that connect product priorities to concrete capability gains. Magic’s long-context models introduce distinct post-training challenges, and you will build systems that expose failure modes, generate high-signal training data, and enable rapid RL iteration at scale. This role can evolve into ownership of major capability areas, deeper RL systems work, or broader influence over post-training strategy.

$275k - $550k

San Francisco remote FullTime
MLRLInfrastructure +1 more

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