Sciforium

Sciforium

Research Engineer - Model Evaluation & MLOps

San Francisco, CA · Mid

Sponsorship not specifiedDetected 53 days ago
PythonDistributed SystemsFull-Stack DevelopmentCI/CDMachine LearningTensorFlowPyTorchNLPLLMsMLOpsResearchCommunicationCollaboration

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Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • You will rapidly enable Sciforium's models and the latest open-weight models on GPUs, automate quality and performance benchmarking, and improve the MLOps workflows that connect research experiments to reliable releases.
  • Rapidly integrate new internal and open-weight language and multimodal models into our GPU evaluation and inference environments.
  • Automate the path from research checkpoints to validated deployments through CI/CD and reproducible workflows.

Responsibilities

  • Build automated benchmarks for model quality and systems performance, including latency, throughput, and memory usage.
  • Create standardized, reproducible comparisons across Sciforium models, external baselines, and runtime configurations.
  • Build and maintain experiment tracking, model registry, and versioning for models, datasets, and evaluation configurations.
  • Build reusable tools that help researchers launch evaluations, compare experiments, and reproduce results.
  • Profile end-to-end model workloads and collaborate with distributed systems, inference, and GPU kernel engineers on deeper performance issues.
  • Software Engineering: Strong Python and software engineering skills, with experience building reliable production systems.

Requirements

  • Evaluation & MLOps: Experience with model evaluation or benchmarking and core model lifecycle workflows such as experiment tracking, versioning, deployment, or monitoring.

Nice to have

  • Familiarity with Hugging Face Transformers or similar model libraries.
  • Experience enabling models on AMD GPUs and ROCm.
  • Contributions to open-source evaluation, model, or ML infrastructure projects.
  • Daily lunch, snacks, and beverages

Compensation

  • Competitive salary and equity

Benefits

  • Medical, dental, and vision insurance
  • Flexible time off
  • Competitive salary and equity
  • Machine Learning Expertise: Hands-on experience with PyTorch, TensorFlow, or JAX and a good understanding of modern language or multimodal model architectures.

Company info

  • Candidates may be stronger in some areas than others. We are looking for strong software engineering foundations, hands-on ML systems experience, and depth in at least one of model evaluation, MLOps, or model deployment.
  • We are looking for strong software engineering foundations, hands-on ML systems experience, and depth in at least one of model evaluation, MLOps, or model deployment.

Equal opportunity

  • Sciforium is an equal opportunity employer.
  • All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Visa & Work Authorization

  • Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.
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This listing is sourced directly from Sciforium's careers page and normalized into a canonical job model.