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Sr. Manager FP&A, Corporate + R&D
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Sr. Manager FP&A, Corporate + R&D
5 days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Pre-Sales Machine Learning Engineer, Customer Success - US (Remote)
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Pre-Sales Machine Learning Engineer, Customer Success - US (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: United States
Programmer Writer, Documentation (Remote)
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Programmer Writer, Documentation (Remote)
2 days ago

Weights & Biases

75% flex
Matchscore
  • Remote: California (USA)
Accountant, AR
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Accountant, AR
24 days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: Arkansas (USA)
AI Engineer - San Francisco
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AI Engineer - San Francisco
10 days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Account Executive, Strategic - US (Remote)
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Account Executive, Strategic - US (Remote)
16 days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: United States
Data Analyst
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Data Analyst
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Senior Software Engineer, GenAI Tools (Remote)
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Senior Software Engineer, GenAI Tools (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Pre-Sales Machine Learning Engineer, Customer Success - EMEA (Remote)
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Pre-Sales Machine Learning Engineer, Customer Success - EMEA (Remote)
30+ days ago

Weights & Biases

80% flex
Matchscore
  •  Full time
  • Remote: EMEA
Account Executive, Enterprise - San Francisco
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Account Executive, Enterprise - San Francisco
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Director, GTM FP&A - US (Remote)
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Director, GTM FP&A - US (Remote)
24 days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: United States
Post-Sales Machine Learning Engineer, Customer Success - US (Remote)
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Post-Sales Machine Learning Engineer, Customer Success - US (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: United States
Senior Software Engineer, Platform Tooling (Remote)
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Senior Software Engineer, Platform Tooling (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Software Engineer, Sweeps (Remote)
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Software Engineer, Sweeps (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Software Engineer, SDK - US (Remote)
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Software Engineer, SDK - US (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: United States
Software Engineer, Governance
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Software Engineer, Governance
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote)
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Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote)
30+ days ago

Weights & Biases

80% flex
Matchscore
  •  Full time
  • Remote: EMEA
Security Trust & Governance Lead (Remote)
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Security Trust & Governance Lead (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)
Software Engineer, Engineering Productivity (Remote)
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Software Engineer, Engineering Productivity (Remote)
30+ days ago

Weights & Biases

75% flex
Matchscore
  •  Full time
  • Remote: California (USA)

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Weights & Biases is a developer-first MLOps platform. Track everything you need to make your models reproducible with Weights & Biases— from hyperparameters and code to model weights and dataset versions. Weights & Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines – regardless of framework, environment, or workflow. Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&B is part of the new standard of best practices for machine learning. W&B is free for personal use and academic projects, and it's easy to get started. Run your first experiment in 30 seconds with this quick hosted notebook: [bit.ly/intro-wb](http://wandb.me/intro)