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Senior Deep Learning Engineer, Accuracy Evaluation

PL01 Nvidia Poland sp. z o.o.

LocationPoland
SenioritySenior
CompanyPL01 Nvidia Poland sp. z o.o.
Verified recentlyChecked today
Compensation

Salary not listed

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Requirements and working style

Decision details from the source listing

Experience

6+ years stated

Education

BS, MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field

Schedule

unspecified

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Senior remote deep learning engineer focused on evaluating frontier models and building evaluation infrastructure. The listing gives base salary ranges by country: Poland 375,000–650,000 PLN; France €114,000–€197,600; Netherlands €123,750–€214,500. USD figures are approximate conversions across those ranges.

Role lane

Data, Design and creative, DevOps, Product, QA and testing, Software

Where you can work

Poland

Working hours

Timezone overlap is not stated.

Arrangement

Senior · full_time

Required signals
Hands-on experience with LLMsDesigning and running evaluations for LLMs or multimodal AI systemsAgentic, multi-turn, or reasoning-heavy evaluationStatistical experimental designSignificance testingRegression analysisBuilding evaluation infrastructure, pipelines, benchmark harnesses, and reproducible CI systemsCommunicating quantitative results to technical and senior stakeholders
Preferred signals
Open-source evaluation frameworksAgentic system evaluation, including tool use and environment-based benchmarksEvaluation research or benchmark designLow-precision inference evaluation, including FP8, INT4, and quantization-aware settingsHPC/SlurmMLflow or W&BCompute cost optimization
Confirm before applying
  • Required timezone overlap is not stated
  • Compensation is not listed
Market context

Data hiring on WFH.team

11,226active related roles
4,098new in the latest period
403.1jobs per 100 candidates
$183kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

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Skills and signals
Hands-on experience with LLMsDesigning and running evaluations for LLMs or multimodal AI systemsAgentic, multi-turn, or reasoning-heavy evaluationStatistical experimental designSignificance testingRegression analysisBuilding evaluation infrastructure, pipelines, benchmark harnesses, and reproducible CI systemsCommunicating quantitative results to technical and senior stakeholdersOpen-source evaluation frameworksAgentic system evaluation, including tool use and environment-based benchmarksEvaluation research or benchmark designLow-precision inference evaluation, including FP8, INT4, and quantization-aware settingsHPC/SlurmMLflow or W&BCompute cost optimizationRemote in Poland, France, or the Netherlands
Job description

Senior Deep Learning Engineer, Accuracy Evaluation at PL01 Nvidia Poland sp. z o.o.

We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance and capabilities of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models. You will collaborate across the organization to bring the latest flagship models from our community and partners to life. This role offers an outstanding opportunity to craft the future of AI at a fast-growing company at the forefront of the AI revolution. Join our team of world-class software engineers and partners to deliver the most advanced models with lightning-fast inference. You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape!

What you’ll be doing

  • Design and build decision-grade evaluation environments for NVIDIA's frontier models spanning reasoning, multimodal, long-context, and agentic systems, producing auditable accuracy signals that gate every major model release.
  • Research and develop novel evaluation methodologies for emerging model families and capability domains (low-precision numerics, multi-turn agentic tasks, code generation) where established benchmarks don't yet exist or don't generalize.
  • Build and operate the evaluation infrastructure and pipelines including benchmark environments, regression CI systems, and statistical analysis tooling, used by model, product, and applied research teams across NVIDIA.
  • Partner with model research, training, and customer teams to translate evaluation signals into concrete decisions: release go/no-go, training iteration direction, and competitive positioning against external frontier models.

What we need to see

  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field
  • 6+ years of hands-on experience with LLMs, designing and running evaluations for large language models or multimodal AI systems, including experience with agentic, multi-turn, or reasoning-heavy settings.
  • Strong statistical foundations: experimental design, significance testing, regression analysis, and the ability to distinguish signal from noise in benchmark results at scale.
  • Proven experience building evaluation infrastructure (pipelines, benchmark harnesses, reproducible CI systems) not just consuming existing benchmarks.
  • Clear, precise communicator who can translate quantitative evaluation results into decisions for researchers, product teams, and senior leadership.

Ways to stand out from the crowd

  • Deep familiarity with open-source evaluation frameworks
  • Experience designing evaluations for agentic systems: tool use, multi-turn reasoning, environment-based benchmarks (SWE-bench, GAIA, WebArena-style), or interactive evaluation settings.
  • Track record of publishing or contributing to evaluation research, new benchmark design, methodology papers, or reproducibility analyses that shaped how the field measures model capability.
  • Experience measuring model accuracy under low-precision inference (FP8, INT4, quantization-aware settings) and understanding how calibration and sparsity interact with benchmark results.
  • Comfort running large-scale workloads on HPC/Slurm clusters, including reproducible experiment management (MLflow, W&B) and compute cost optimization across hundreds of benchmark runs.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:

Poland: 375,000 PLN – 650,000 PLN.

France: 114,000 EUR – 197,600 EUR.

Netherlands: 123,750 EUR – 214,500 EUR.

Company context

Working remotely at PL01 Nvidia Poland sp. z o.o.

PL01 Nvidia Poland sp. z o.o. is hiring for 2 active remote roles, with remote-friendly openings, application links, and job details refreshed from the public remote job inventory.

Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Research PL01 Nvidia Poland sp. z o.o.