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Urgently Hiring Machine Learning Startup Jobs (NOW HIRING)

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... startup-stage company (founding engineer to Series A company). Must be able to successfully ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will play a central role in building the core technology for training ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to contribute to the development of tools and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ... startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Goodfire

Machine Learning Engineer

Manhattan, NY · On-site

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$180 - $250/hr

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ... Startup mindset with a desire to build and move quickly Bonus * Recommendation Systems * Marketing ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and ... Preferred : • Open-source ML infra contributions. • Startup or frontier lab experience in fast ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI ... paced startup environment, and able to demonstrate strong ownership and urgency in execution.

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ... paced startup environment, and able to demonstrate strong ownership and urgency in execution.

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Urgently Hiring Machine Learning Startup information

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How much do urgently hiring machine learning startup jobs pay per year?

As of Aug 17, 2026, the average yearly pay for urgently hiring machine learning startup in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
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Urgently Hiring Machine Learning Startup jobs near you
Infographic showing various Urgently Hiring Machine Learning Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Scientist

Tacit

San Francisco, CA • On-site

$180K - $270K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

About Tacit
We are an early-stage, deep tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. We are backed by General Catalyst, Khosla Ventures, and Greylock Partners, with a founding team from Stanford, BrainGate, Oculus, and Tesla. While we can't reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
About the role
As a Machine Learning Scientist, you will develop cutting-edge AI models to integrate and decode complex, multimodal data streams from our custom sensing hardware. You'll play a pivotal role in advancing our technology stack by building and optimizing models for real-time applications. This position spans foundational research in deep learning, hands-on model development, and applying algorithms to scale across diverse data sources and users.
Responsibilities:
  • Design and implement state-of-the-art machine learning algorithms for processing multimodal biosignals, including time series, spatial, and spectral data.
  • Build and optimize neural network architectures.
  • Develop and evaluate multimodal learning techniques to fuse information from multiple sensor modalities.
  • Iterate rapidly on model prototypes for real-time inference on custom hardware.
  • Create and maintain a robust evaluation framework for benchmarking model performance across datasets and participants.
  • Collaborate closely with a diverse team, including hardware engineers, neuroscientists, and product, to align models with user needs.

Requirements:
  • PhD in computer science, machine learning, computational neuroscience, or related fields (or equivalent industry experience).
  • Expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and fluency in Python.
  • Track record of publishing or deploying machine learning models in real-world systems.
  • Independent work ethic, flexibility, and resourcefulness.
  • Effective communication and collaboration skills.
  • Comfortable in fast moving startup environment, excited to build independently

Preferred Qualifications:
  • Familiarity with human-machine interaction systems such as automatic speech recognition or neural interfaces.
  • Hands-on experience with consumer wearables or custom hardware.
  • Knowledge of low-latency inference techniques and model optimization for edge devices.

Details:
  • This position is full time, onsite in San Francisco (SOMA)
  • Company size: 30-40 people

Compensation Range
$180,000 - $270,000/year
Benefits
  • Competitive equity package
  • Comprehensive medical, dental, and vision insurance
  • Unlimited PTO
  • Visa sponsorship
  • 4% 401k matching

Apply