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Phd Machine Learning Startup Jobs in California (NOW HIRING)

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Company Description PatternAI is an automated machine learning platform that reveals critical ... Additional Information About PatternAI PatternAI is an early stage startup that is growing rapidly ...

Advatix, Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Equivalent Master's or PhD research experience will be considered. * Demonstrated success designing ... Startup Mindset * Thrives in fast-paced, high-ownership environments. * Comfortable wearing ...

New

Advatix, Inc.

Machine Learning Engineer

San Mateo, CA · On-site

Equivalent Master's or PhD research experience will be considered. * Demonstrated success designing ... Startup Mindset * Thrives in fast-paced, high-ownership environments. * Comfortable wearing ...

New

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

As part of our machine learning team, you will play a vital role in prototyping foundational ... MS/PhD in computer vision, electrical, optical or computer engineering or related fields.Experience ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.Self-motivated with proven ability to effectively prioritize and deliver ...

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... in a dynamic startup environment • Bring your own unique expertise to the team and learn from ... ideally with machine learning playing a critical role • Strong foundational knowledge of ...

Microsoft

Machine Learning

Mountain View, CA · On-site

$220K - $331K/yr

The MAIST is a startup-like team inside Microsoft AI , created to push the boundaries of AI toward ... Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s ...

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What are some common challenges faced by PhD-level professionals working in machine learning startups?

PhD-level professionals in machine learning startups often encounter challenges such as balancing research innovation with the need for rapid product development. Unlike academia, startups prioritize practical solutions that fit tight deadlines and resource constraints. Team members typically wear multiple hats and collaborate closely with engineers, product managers, and business stakeholders, requiring strong communication skills and adaptability. Additionally, translating cutting-edge research into scalable, real-world applications can be both intellectually rewarding and demanding.

What do PhD holders in Machine Learning do at startups?

PhD holders in Machine Learning at startups typically lead research and development efforts to create innovative algorithms and models that solve real-world problems. They often work on designing and implementing advanced machine learning solutions, analyzing large datasets, and collaborating with product and engineering teams to bring research ideas to production. Their expertise helps startups stay competitive by driving technological advancements and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional in a startup environment, and why are they important?

To excel as a PhD-level Machine Learning professional at a startup, you need advanced expertise in machine learning algorithms, statistical modeling, and a doctoral degree in a related field. Experience with Python, TensorFlow, PyTorch, and version control systems, along with a strong publication record, is typically expected. Initiative, adaptability, and excellent problem-solving and communication abilities are crucial soft skills in the fast-paced startup setting. These competencies enable rapid innovation, effective team collaboration, and successful deployment of machine learning solutions under resource constraints.
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Phd Machine Learning Startup jobs near you

Research Intern (PhD), Machine Learning

Output Biosciences

San Francisco, CA • On-site

$3K - $11K/mo

Full-time

Medical, Dental, Vision

Posted 12 hours ago

Job description

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.


The Role

You will own a research project that directly advances Output's research and its path to new therapies. This is not a side project: your work will contribute to the same models and methods the full-time team builds on. We will select a project together based on your research interests and our priorities, with a path to publishing your work at top-tier venues and the opportunity to continue with additional projects throughout the year.


About You

  • You are currently pursuing a PhD in machine learning, computer science, computational biology, physics, mathematics, or a related field

  • You have a strong research track record, demonstrated by publications or submitted work at venues such as NeurIPS, ICML, ICLR, or relevant computational biology conferences

  • You have hands-on experience designing and running ML experiments, including training models and analyzing results

  • You are proficient in Python and PyTorch, and comfortable working with large-scale datasets and GPU infrastructure

  • You can work independently on a research problem: scoping an approach, running experiments, interpreting results, and communicating findings clearly

Bonus Points

  • You have experience applying machine learning to biological, chemical, or molecular data

  • You have a background in computational biology, biophysics, chemistry, or a related natural science

  • You have experience with generative models, representation learning, or self-supervised learning

  • You have contributed to open-source machine learning or computational biology projects

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

What We Offer

  • We encourage new and different ideas, creativity and contrarian thinking

  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

  • You own your day-to-day management. What we care about is that we all hit our milestones

  • Competitive salary and equity in a growing, well-funded startup

  • Excellent medical, dental, and vision coverage