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Phd Machine Learning Startup Jobs in Washington, DC

Clearview AI

Senior Machine Learning Engineer

Washington, DC · On-site +1

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent ... * BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

Clearview AI, Inc.

Senior Machine Learning Engineer

Washington, DC · Remote

$118K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent ... * BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. * Is ...

Somatus, Inc.

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Bachelor's or Master's Degree with 1 or more years of experience in a machine learning-related role, or PhD * At least 1 year of experience with Python * Some experience with relational databases and ...

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All JobsPhd Machine Learning Startup JobsPhd Machine Learning Startup Jobs in Washington, DC

Phd Machine Learning Startup information

See Washington, DC salary details

$28.9K

$48.2K

$99.7K

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

As of Aug 13, 2026, the average yearly pay for phd machine learning startup in Washington, DC is $48,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,800.00 and $52,100.00 per year, depending on experience, location, and employer.

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.

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 popular job titles related to Phd Machine Learning Startup jobs in Washington, DC?

For Phd Machine Learning Startup jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Phd Machine Learning Startup jobs in Washington, DC look for?

The top searched job categories for Phd Machine Learning Startup jobs in Washington, DC are:

Phd Machine Learning Startup jobs near you

Machine Learning Engineer

Full Scope

Fort George G Meade, MD • On-site

$120 - $180/hr

Other

Posted 2 days ago

New

Job description

Job Title:Machine Learning Engineer

Location:Fort Meade, MD

Required Clearance: TS/SCI w/ Full-Scope Poly

Salary:Competitive

We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will work closely with data scientists, engineers, and product managers to design, develop, and deploy machine learning models and solutions that drive business value.

Key Responsibilities
  • Design, develop, and implement machine learning models and algorithms to solve real-world problems.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct data analysis and preprocessing to ensure high-quality data for model training.
  • Optimize and fine-tune models for performance, accuracy, and scalability.
  • Deploy machine learning models into production and monitor their performance.
  • Develop and maintain machine learning pipelines and infrastructure.
  • Stay current with the latest research and advancements in machine learning and AI.
  • Participate in code reviews, team meetings, and contribute to a collaborative development environment.
  • Document processes, models, and findings comprehensively.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Solid understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Experience with data processing tools like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling.
  • Strong problem-solving skills and the ability to think critically and analytically.
  • Excellent communication and teamwork skills.
Preferred Qualifications
  • Experience with natural language processing (NLP) and computer vision.
  • Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of software development best practices and version control systems like Git.
  • Experience with containerization tools like Docker and orchestration tools like Kubernetes.
  • Previous experience in a fast-paced, startup environment.
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