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Weights Biases Jobs (NOW HIRING)

Senior AI Engineer

California, MO · On-site

$120 - $190/hr

Experience with observability and monitoring systems for ML (e.g., MLflow, Weights & Biases, or similar) * Solid understanding of the data science workflow, from data ingestion and feature ...

... Weights & Biases Proficient with SQL and NoSQL databases alongside graph and vector stores for hybrid data architectures

Wildcard

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

Our team comes from Anthropic, McKinsey, METR, Weights & Biases, Perplexity, Thiel Fellowship, etc. We've raised $55m from Ribbit, First Harmonic, and Nat Friedman. Read more here, here, and here.

Experience with MLOps practices - model versioning, monitoring, and deployment using MLflow, Weights & Biases * Proficient with SQL and NoSQL databases alongside graph and vector stores for hybrid ...

Staff Engineer - ML Operations - USA Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own the end-to-end ML lifecycle and deployment - experiment tracking, model registry, versioning, lineage, and reproducibility (e.g., MLflow, Weights & Biases, Kubeflow); design and operate model ...

Staff Engineer - ML Operations - USA Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own the end-to-end ML lifecycle and deployment - experiment tracking, model registry, versioning, lineage, and reproducibility (e.g.,MLflow, Weights & Biases, Kubeflow); design and operate model ...

Proven experience with BLEU, ROUGE, G-Eval, BERTScore, Context Precision, Faithfulness, MLflow, Weights & Biases, and cloud infrastructure-as-code. Requires a product mindset for testing non ...

Machine Learning Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Are familiar with ML infrastructure tools such as MLflow, Weights & Biases, Airflow, Kubeflow, or SageMaker * Have experience with vector databases and semantic search technologies * Have healthcare, ...

MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) * Healthcare or regulated-industry experience strongly preferred; familiarity with HIPAA technical safeguards required * Pragmatic ...

... Weights & Biases) Knowledge of data pipelines (Airflow, Spark) Familiarity with cloud platforms (AWS, Azure, or GCP) Preferred Qualifications Experience fine-tuning LLMs (LoRA, PEFT techniques ...

Director, Developer Relations

Livingston, NJ · On-site

$165K - $242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are hiring a Director of Developer Relations reporting to the Head of Product and Content Marketing, Weights & BIases. We're looking for a candidate who thrives in a fast-paced environment and ...

GenAI Architect

Ewing, NJ · On-site

$190K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MLflow, Weights & Biases, evaluation/observability frameworks (e.g., LangSmith, Arize) • Data engineering: ETL pipelines, embeddings generation, knowledge graph integration • API design and ...

Lead AI/ML Engineer

$104K - $138K/yr

... Weights & Biases, or others • Solid data manipulation and analysis skills using pandas • Experience presenting and defending test or experiment results (matplotlib) • Experience working with ...

We are hiring a Director of Developer Relations reporting to the Head of Product and Content Marketing, Weights & BIases. We're looking for a candidate who thrives in a fast-paced environment and ...

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How much do weights biases jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for weights biases in the United States is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.71 per hour, depending on experience, location, and employer.
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Infographic showing various Weights Biases job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $38,242 per year, or $18.4 per hour.

Senior Software Engineer, ML Infrastructure

Voxel Labs, Inc

San Francisco, CA • On-site

$200K - $240K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago


Job description

Who We Are
Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs.
About the Role
Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team.
We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You'll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers.
What You'll Do
  • Build and maintain training infrastructure that lets the applied ML team train multiple models concurrently, manage experiments, and iterate quickly on new architectures.
  • Own the train-to-deploy handoff - export trained models to optimized inference formats (TensorRT, ONNX), quantify accuracy and latency impact, and partner with Platform on production deployment.
  • Establish ML experiment tracking and lifecycle management - pick the right tools (Weights & Biases, MLflow, ClearML, or similar) so researchers can run, compare, and reproduce experiments efficiently.
  • Establish DevOps-for-ML best practices on AWS (IaC, CI/CD, observability, cost monitoring) so researchers can iterate quickly and safely.
  • Understand the infra needs of applied ML/CV engineers and design scalable solutions that support model development.

What We're Looking For
  • 4+ years of experience building and shipping large scale software solutions.
  • Hands-on experience building ML training pipelines in PyTorch.
  • Hands-on experience with ML experiment tracking and lifecycle tools (Weights & Biases, MLflow, ClearML, or similar).
  • Experience with AWS (S3, EC2, EKS, or similar) for ML workloads.
  • Strong Python. Write performant code that scales well in production environments.
  • Track record of owning infrastructure end-to-end: scoping, building, shipping, and improving systems that internal teams depend on.
  • Bias toward shipping. You'd rather ship something good this week than something perfect next quarter.
  • Strong communication skills.
Nice to Have
  • Experience with modern ML orchestration tools (Ray, Sematic, Flyte, Metaflow, Prefect, or similar)
  • Familiarity with GPU performance profiling and optimization (Nsight, PyTorch profiler, or similar)
  • Background in computer vision model training
Compensation & Benefits
  • Equity through Voxel's Equity Incentive Plan
  • Total compensation includes base salary, annual bonus, and equity
  • Comprehensive health, dental, and vision insurance
  • Competitive paid parental leave
  • Unlimited PTO and flexible work arrangements
  • Daily meals in-office, team events, annual company onsite