Member of Technical Staff - Pre-Training Evals Infra

reflectionai; New York (NY); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Top-tier compensation

Stock options

Health & wellness

Meals provided

Parental leave

Unlimited vacation (US)

Visa sponsorship

Job summary

Reflection AI is seeking a software-focused engineer to build the evaluation infrastructure used by researchers to understand model capabilities, guide training decisions, and assess readiness for release. The role spans evaluation authoring, distributed execution, and results analysis, with a focus on pre-training.

You will collaborate with researchers to design scalable APIs, robust orchestration, and intuitive dashboards that reveal model outputs, track experiments, and help distinguish

Qualifications

• Proficiency in Python, C++, or Rust.
• Experience designing, building and operating reliable distributed systems.
• Knowledge of model inference and evaluation and how config choices affect quality.
• Ability to translate research needs into clear APIs and reusable tools.

Responsibilities

• Design and evolve evaluation abstractions with clear APIs and data models.
• Build scalable, reliable distributed evaluation infrastructure and orchestration.
• Optimize evaluation and inference performance and throughput.
• Ensure reproducibility with validation, regression tests, and traceability.
• Develop researcher-facing interfaces and dashboards for inspecting outputs.
• Monitor evaluation workloads, triage failures and diagnose issues.
• Turn research needs into reusable, self-service tools across teams.

Skills

Python

C++/Rust

Distributed systems

Performance optimization

Job description

Our Mission

Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all.

About the Role

You will build the evaluation infrastructure that researchers use to understand model capabilities, guide training decisions, and assess readiness for release. The role spans evaluation authoring, distributed execution, and results analysis, with a particular focus on pre-training. You will work directly with researchers to make evaluations faster, more reliable, and easier to use, ensuring that the results accurately reflect the models being evaluated.

Responsibilities

• Design and evolve evaluation abstractions. Build clear APIs and data models for evaluation tasks, datasets, configurations, model outputs, and scores, making it straightforward to add new evaluations and extend existing workflows.
• Build scalable, reliable execution infrastructure. Develop distributed systems for evaluating model checkpoints throughout training and ahead of release, with robust orchestration, observability, and recovery from failures.
• Optimize evaluation and inference performance. Profile inference servers and distributed execution to improve throughput, GPU utilization, and time to results.
• Establish evaluation correctness and reproducibility. Build validation and regression tests, version datasets and configurations, and preserve the provenance needed to reproduce results and investigate discrepancies.
• Build researcher-facing tools. Create intuitive interfaces and dashboards for inspecting model outputs, comparing checkpoints and experiments, and debugging unexpected behavior.
• Operate and monitor evaluations as training progresses. Track evaluation workloads and results, triage failures, and develop alerts and diagnostics that help distinguish changes in model quality from inference or evaluation issues.
• Turn research needs into reusable systems. Partner directly with researchers to identify bottlenecks, prioritize high-impact improvements, and turn bespoke workflows into self-service tools that work across teams.

About You

Strong proficiency in Python, C++, or Rust, with the ability to reason deeply about concurrency, memory behavior, and performance.

Experience designing, building, and operating reliable, maintainable distributed systems, with sound judgment about interfaces, failure modes, and architectural tradeoffs.

Working knowledge of model inference and evaluation, including how implementation and configuration choices can affect measured model quality.

Ability to investigate complex problems across system boundaries, follow evidence, and identify root causes rather than just address symptoms.

Strong product judgment and experience translating the needs of researchers or other technical users into clear APIs and usable tools.

Comfort owning ambiguous problems end to end, prioritizing competing research needs, and balancing rapid delivery with long-term reliability and maintainability.

Attention to detail and the persistence to investigate subtle discrepancies in model outputs, evaluation results, and system behavior.

What We Offer

We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models.

We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.

• Top-tier compensation: Salary and equity structured to recognize and retain our talent globally.
• Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options.
• Health & wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance.
• Meals: Lunch and dinner are provided in the office daily.
• Life & family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys.
• Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K.
• Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable.
• Team building: We have regular off-sites, happy hours, and team celebrations.

Export Control Notice

This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.

Candidate and Employee Privacy Notice

We collect and process personal