ZipRecruiter

Log In

1

Phd Machine Learning Startup Jobs (NOW HIRING)

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner ... Master's Degree or PhD Preferred Prior experience with data annotation, data quality, or evaluation ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ... You enjoy working at the very cutting edge of R&D * You want to experience an early stage startup ...

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 ...

SAIC

Machine Learning Developer

Arlington, VA · On-site

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... PhD and zero (0) years related experience; four (4) years of experience considered in lieu of ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... PhD and zero (0) years related experience; four (4) years of experience considered in lieu of ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

MS. or PhD in Machine Learning, or related field * Extensive AWS or GCP experience putting scalable Machine Learning systems into production. * Experience working with extremely high volume / high ...

next page

Showing results 1-20

People also search for

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 Jun 7, 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 May 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Mid-Level Machine Learning Engineer

Mid-Level Machine Learning Engineer

TetraMem Inc

San Jose, CA • On-site

$110K - $200K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Responsibilities:
  • Develop, optimize, and deploy lightweight machine learning models for edge AI applications, particularly for audio processing.
  • Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions.
  • Work closely with hardware and software teams to integrate ML models into production systems.
  • Research and implement state-of-the-art ML techniques to enhance model efficiency, latency, and power consumption for embedded AI applications.
  • Improve inference efficiency and model compression techniques, including quantization, pruning, and knowledge distillation.
  • Collaborate with cross-functional teams to drive innovation and contribute to the overall system architecture.
  • Provide technical leadership and mentorship to junior engineers.
  • Publish research findings, present at conferences, and contribute to open-source projects when applicable.

Requirements:
  • 5+ years of experience or PhD in Computer Science, Electrical Engineering, or related fields.
  • Strong experience in machine learning, with a focus on edge AI and lightweight model deployment.
  • Expertise in ML frameworks such as PyTorch, TensorFlow, JAX.
  • Proficiency in programming languages such as C/C++, Python, and experience with ML model optimization.
  • Ability to work independently and collaboratively in a fast-paced startup environment.
  • Ability to provide mentorship, technical guidance, and career development support to junior engineers and interns.

Experience in one or more of the following areas considered a strong plus:
  • Understanding of ML compiler and runtime design.
  • Experience working with tools such as Optimum, ONNX, TensorRT, TFLite/LiteRT, ncnn, or CoreML.
  • Familiarity with hardware acceleration techniques.
  • Experience in embedded system development.

Salary Range: $110,000 - $200,000 / year

Apply