Machine Learning Research Engineer, Wispr AI

Foundation Models

$145-215k

AWS
Python
NumPy
Pandas
PyTorch
Mid and Senior level
San Francisco Bay Area
Wispr AI

Thought-controlled computing

Job no longer available

Wispr AI

Thought-controlled computing

21-100 employees

B2BArtificial IntelligenceManufacturing

Job no longer available

$145-215k

AWS
Python
NumPy
Pandas
PyTorch
Mid and Senior level
San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceManufacturing

Company mission

To build neural interfaces for every single person and, in the process, help them achieve a lot more.

Role

Who you are

  • MS or Ph.D. in computer science, machine learning, or related engineering field
  • 3+ years of hands-on research experience in machine learning (in academia or industry)
  • Strong research/publication track record
  • Experience in Python and deep learning libraries (Pytorch, Numpy, Pandas, etc.)
  • Hands on experience with cloud computing (e.g. AWS)
  • Outstanding team player and communicator

Desirable

  • Hands on experience building foundation models from scratch
  • Contributing to open source ML libraries
  • Experience working with bio-signals (EMG, EEG, EKG, etc), or real-world noisy data (eg. self-driving cars)
  • Experience with novel methods for increasing model performance - including leveraging synthetic data, unsupervised pre-training, etc
  • Experience working on ASR or NLP systems
  • Research in a deep tech company or special projects group

What the job involves

  • Your role will include the research and development of core ML models, setting up the infrastructure to experiment, metrics to measure success, drive data curation, and more
  • You will be working closely with research scientists and Wispr's product team to test the models in real-world environments
  • Your work may touch upon unsupervised pre-training, semi-supervised learning, synthetic data generation, multi-modal feature extraction, and more
  • Design and improve deep learning architectures for neural signals from novel hardware
  • Scale up data collection and run experiments on large datasets
  • Setup best practices for ML research and set company-wide benchmarks to test models
  • Explore and invent novel ways to decode neural signals with low latency
  • Collaborate with neuroscientists, ML engineers, and interaction designers to unlock new capabilities to design the most natural and seamless human-computer interactions

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Company

Company benefits

  • Design the next generation of personal computing in a creative and innovative environment
  • Headquarters in an open, green, and bright office in South San Francisco with water views
  • Generous health, dental, and vision coverage
  • Generous parental leave, unlimited PTO (we encourage taking days off!)
  • 401k match
  • Work closely with a world-class team
  • Flexible work arrangements to support you in working in the way that you work best

Funding (last 2 of 4 rounds)

Jun 2025

$30m

SERIES A

Sep 2024

$12m

EARLY VC

Total funding: $51.6m

Our take

Founded by former Stanford roommates, Wispr AI is a San Francisco-based consumer electronics company that is building natural interface to interact with technology and brings these to every person in the world.

Indeed, the technologies we use are changing at a ridiculous pace; mobile phones quickly evolved into smartwatches. Wispr are exploring how we interact with this technology as we move away from the traditional keyboards and voice. Uniquely, the company is focused on 'natural' ways for people to interact with tech that doesn’t involve tapping on glass or performing gestures.

Wispr AI received a second round of seed funding in 2022 that will be used to accelerate growth and expand operations. It is well-positioned for growth as it is commercializing a product that falls within an entirely new market.

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Steph

Company Specialist at Welcome to the Jungle