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Phd Machine Learning Startup Jobs in Frederick, MD

Amtex Systems Inc

Lead AI Engineer

Rockville, MD · On-site

$104K - $137K/yr

Background in hybrid AI systems combining rules and machine learning (preferred). Education Requirements: * Bachelor's or Master's degree in Computer Science, AI/ML, or related field. * PhD preferred ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

Provide examples of basic machine learning/AI concepts and/or how you've applied them in ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Provide examples of basic machine learning/AI concepts and/or how you've applied them in ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Provide examples of basic machine learning/AI concepts and/or how you've applied them in ... Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related ...

Leonardo DRS

Principal Data Scientist

Germantown, MD · On-site

$134K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PhD preferred * A minimum of 12 years of experience * Mastery of technologies and application ... Strong foundation in applied statistics, analytics, and machine learning * Proven ability to set ...

Leonardo DRS

Principal Data Scientist

Germantown, MD · On-site

$134K - $181K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PhD preferred * A minimum of 12 years of experience * Mastery of technologies and application ... Strong foundation in applied statistics, analytics, and machine learning * Proven ability to set ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

$60K - $60K/yr

... both PhD researchers and software developers) in a matrixed organization. • Demonstrated ... TensorFlow), Classical Machine Learning (Scikit-Learn), and Generative AI architectures ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and software architects to solve complex health challenges, such as pandemic preparedness and rare disease ...

Axle

Associate Director of AI and Data

Rockville, MD · On-site

You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and software architects to solve complex health challenges, such as pandemic preparedness and rare disease ...

Axle

Associate Director of AI and Data

Rockville, MD

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will galvanize interdisciplinary teams of PhD scientists, machine learning engineers, and software architects to solve complex health challenges, such as pandemic preparedness and rare disease ...

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All JobsPhd Machine Learning Startup JobsPhd Machine Learning Startup Jobs in Frederick, MD

Phd Machine Learning Startup information

See Frederick, MD salary details

$25.4K

$42.3K

$87.5K

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

As of Aug 17, 2026, the average yearly pay for phd machine learning startup in Frederick, MD is $42,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What does a PhD machine learning professional do at a startup?

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 skills and qualifications are needed to thrive as a PhD machine learning professional in a startup?

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.

What are common challenges faced by PhD machine learning professionals in 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.

How much does a PhD in machine learning make?

A PhD in machine learning working at a startup or tech company typically earns between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning or AI may command higher salaries, especially in competitive markets.

What can you do with a PhD in machine learning?

A PhD in machine learning prepares individuals for advanced roles such as research scientist, machine learning engineer, or data scientist in startups and tech companies. It enables expertise in developing algorithms, analyzing large datasets, and deploying AI models using tools like Python, TensorFlow, or PyTorch. These roles often require strong programming skills, knowledge of statistical methods, and the ability to work on innovative AI solutions.

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NIST PREP Postdoc Associate in Quantum Networks Entanglement Layer Research

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$80K - $90K/yr

Full-time

Re-posted 26 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Quantum Networks Entanglement Layer Research
The work will entail: This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Key responsibilities will include but are not limited to:
  • Characterize and develop models and optimizers for quantum network components.
  • Design optimization and learning algorithms and protocols for entanglement routing in quantum networks.
  • Prototype models, algorithms and experiments in simulated environments, and provide rigorous analyses and evaluations using measurement data from the project experimentation team.
  • Maintain a detailed log of all prototypes, simulations and experimental activities.
  • Share research findings through peer-reviewed journals, conferences, and presentations.

Qualifications
  • A PhD in Electrical and Computer Engineering or a related field is required.
  • Candidates should have research experience in one or more of the following areas: control and communication systems, convex/non-convex optimization, distributed and federated learning, dynamical networked systems; and with at least six (6) years of experience in theoretical and practical design and evaluation of machine learning and optimization algorithms for distributed systems and optimal network resource allocation.
  • A solid understanding of quantum network engineering, control and queueing theories, mathematics is essential, with at least three (3) years of experience working on mechanisms for supporting end-to-end quality of services in an emerging networking technologies.
  • Programming skills for control and communication systems and machine learning are required, with proficiency in languages such as MATLAB and Python, and with at least six (6) years of experience in independent design, efficient implementation, and testing of all aspects of optimization or machine learning algorithms in a testbed.
  • Familiarity with quantum network components and simulators is expected.
  • U.S. Citizen is preferred.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004212

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