ZipRecruiter

Log In

1

Phd Machine Learning Startup Jobs (NOW HIRING)

Instacart

OR

The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in particular looking for current or recently graduated PhD students in ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

Prior experience at a frontier AI lab, agentic startup, leading hedge fund, big tech company, or ... Skill leveraging Claude Code, Codex, or other coding agents * BS/MS/PhD in Computer Science or a ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... expert and PhD neuroscience, enables people to control hardware and software in real-time with ...

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... expert and PhD neuroscience, enables people to control hardware and software in real-time with ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading ... An undergraduate or PhD student with practical experience training an ML model, working on an ML ...

Point72

Machine Learning Engineer

New York, NY · On-site

PhD or PhD candidate in machine learning, computer science or other AI related research fields * Experience with sequential modeling and time series forecasting using deep learning * Experience with ...

next page

Showing results 1-20

All JobsPhd Machine Learning Startup Jobs

Phd Machine Learning Startup information

See salary details

$25.5K

$42.6K

$88K

How much do phd machine learning startup jobs pay per year?

As of Jul 20, 2026, the average yearly pay for phd 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.

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.
More about Phd Machine Learning Startup jobs
What cities are hiring for Phd Machine Learning Startup jobs? Cities with the most Phd Machine Learning Startup job openings:
What states have the most Phd Machine Learning Startup jobs? States with the most job openings for Phd Machine Learning Startup jobs include:
What job categories do people searching Phd Machine Learning Startup jobs look for? The top searched job categories for Phd Machine Learning Startup jobs are:
Phd Machine Learning Startup jobs near you
Infographic showing various Phd Machine Learning Startup job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Research Intern (PhD), Machine Learning

Research Intern (PhD), Machine Learning

Output, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision

Re-posted 10 days 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

Apply