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Urgently Hiring Machine Learning Startup Jobs in San Ramon, CA

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Startup Mindset * Thrives in fast‑paced, high‑ownership environments. * Comfortable wearing multiple hats across machine learning, research, backend engineering, and infrastructure. Preferred ...

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 ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ...

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 ...

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

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

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 ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

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

OpenReq

Machine Learning Engineer

San Francisco, CA · On-site

Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the ...

Swish Analytics

Machine Learning Engineer

San Francisco, CA · On-site +1

$160K/yr

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of ... The Data Science team is hiring an experienced Machine Learning Engineer with a background building ...

Plenful

Machine Learning Engineer

San Francisco, CA · On-site

We're a fast-moving startup where priorities evolve quickly - you should be energized by that, not worn down by it. What You'll Do * Design, build, and deploy machine learning models into production

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Goodfire

Machine Learning Engineer

San Francisco, CA

$200K - $400K/yr

Startup or frontier lab experience in fast-moving teams. Our values Goodfire is looking for ... Where we work We are hiring for this position in both our San Francisco HQ and our New York office.

MM International

Machine Learning Engineer

Fremont, CA · On-site

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

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See San Ramon, CA salary details

$28.5K

$47.6K

$98.3K

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

As of Aug 25, 2026, the average yearly pay for urgently hiring machine learning startup in San Ramon, CA is $47,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $51,400.00 per year, depending on experience, location, and employer.

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Machine Learning Engineer Intern (Computer Vision/Multimodal/Generative AI)

San Francisco, CA • On-site

SpreeAI
See more jobs at SpreeAIexternal

Internship

Re-posted 10 days ago

Job description

About the Role
We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution.
What you'll do
  • Develop and improve multimodal AI systems involving image, video, and generative pipelines.
  • Work on diffusion model optimization, controllability, and step efficiency.
  • Design experiments and evaluation frameworks for visual realism and consistency.
  • Translate research prototypes into scalable production systems.
  • Collaborate closely with infrastructure teams to optimize training and inference.

Qualifications
  • Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.
  • Strong programming skills in Python and familiarity with object-oriented languages (C++, Java, or similar).
  • Strong data structures and algorithms fundamentals.
  • Experience with PyTorch or similar frameworks.
  • Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures.

Preferred Qualifications
  • Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.
  • Human pose estimation, geometry-aware modeling, or video understanding.
  • Experience shipping ML systems into production.

Why Join SPREEAI?
  • Real Impact & Ownership: This is an opportunity to shape a product and brand at the forefront of fashion-tech innovation. Your design work will directly impact how thousands (eventually millions) of people experience shopping with SPREEAI - no bureaucratic layers, your ideas can go live and make a difference immediately. You'll own projects that truly matter in the company's growth.
  • Visionary Team & Exposure: Work side-by-side with a passionate founding team and collaborate with industry visionaries. You'll have direct access to our CEO and leadership, and even get to interact with world-class advisors (our board includes an iconic fashion figure). It's a chance to learn from and contribute to the best of both the tech and fashion worlds.
  • Creative Freedom & Innovation: Join a high-growth startup environment that celebrates bold ideas and moves at lightning speed. You'll have the autonomy to introduce new design concepts, test emerging technologies, and innovate without red tape. If you've ever wanted to combine your love of design, luxury fashion, and cutting-edge tech, you'll have the freedom to do it here and see your vision realized.

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

Apply