Doe Logo

Doe

Machine Learning Researcher

Reposted One Month Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
The Machine Learning Researcher will develop AI agents for private equity-backed workflows, focusing on ML cycle efficiency and decision-making.
The summary above was generated by AI

At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure.

Here's why we might not be the right fit for you:

• We work hard and have a high-velocity environment with lots of growth opportunities.

• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.

• You will be responsible and accountable for making high-impact decisions that determine

Who we're looking for:

  • Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks

  • Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal

  • Proficient in Python, Tensorflow or PyTorch

HQ

Doe San Francisco, California, USA Office

San Francisco, California, United States, 94114

Similar Jobs

Lawrence Livermore National Laboratory Logo
Lawrence Livermore National Laboratory

Computational Biologist (ML) Postdoctoral Researcher

Yesterday
Hybrid
Livermore, CA, USA
122K-143K Annually
Entry level
122K-143K Annually
Entry level
Information Technology • Security • Energy • Defense
Conduct computational structural biology research developing deep learning models to predict protein-protein interactions, specificity, and structure in host-pathogen systems. Collaborate with computational and experimental biologists, develop sequence and structure analysis tools, publish findings, prepare reports and proposals, present research, and coordinate with external partners through occasional travel.
Top Skills: Alphafold3Cloud ComputingDeep LearningEsmfold2Gpu ProgrammingHigh-Performance ComputingParallel ProgrammingPythonPyTorchRosettafold3Unix
Raydar Logo
Raydar

Machine Learning Researcher

Yesterday
In-Office
San Francisco, CA, USA
200K-250K Annually
Entry level
200K-250K Annually
Entry level
Professional Services • Consulting
Lead research and development of compact machine learning models for consumer hardware. Own model capabilities from data selection through experimentation, training, compression, validation, and production release. Apply fine-tuning, reinforcement learning, and efficient inference techniques while optimizing memory and GPU performance. Collaborate with engineers and researchers, document results, prioritize promising research directions, and deliver models that improve measurable quality and outperform existing benchmarks.
Top Skills: Fine-TuningGpu Performance TuningMachine LearningMemory ManagementModel CompressionOn-Device Machine LearningReinforcement Learning
Monarch Crops Logo
Monarch Crops

ML Researcher

20 Days Ago
In-Office
Emeryville, CA, USA
160K-260K Annually
Entry level
160K-260K Annually
Entry level
Agriculture • Chemical
Conduct research on machine-learning methods that recommend informative scientific experiments. Develop multimodal models using molecular, assay, behavioral, and laboratory data; create active-learning and sequential experiment-selection methods; design evaluations robust to distribution shift; investigate generalizable behavioral signals; and translate model failures into improved experiments, labels, and controls. Communicate findings clearly to experimental scientists and validate models prospectively.
Top Skills: Python

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account