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Ml Scientist Jobs (NOW HIRING)

Axle

AI/ML Scientist/Developer

Bethesda, MD · On-site

$100K - $130K/yr

Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center On-Site in Bethesda, MD. The ...

Axle

AI/ML Scientist/Developer

Bethesda, MD

Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center On-Site in Bethesda, MD. The ...

Judi Health

Staff Applied AI/ML Scientist

Charlotte, NC · On-site

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the ...

Triwill Group

Staff Applied AI/ML Scientist

Denver, CO · On-site

$158 - $237/hr

Join our mission to infuse cutting-edge AI/ML/GenAI into healthcare as a Staff Applied AI/ML Scientist. We are seeking Artificial Intelligence (AI) specialists to join our team and contribute to the ...

New

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

They are seeking an AI/ML Scientist/Developer to develop computational models for organoid growth and differentiation, contributing to the Standardized Organoid Model Center at the NIH.

SpangleAI

AI/ML Scientist

Austin, TX · On-site

They are seeking an AI/ML Scientist responsible for building generative AI and large language models, collaborating with cross-functional teams to enhance customer experiences and product offerings.

BBG Ventures, LLC

Translational ML Scientist

Manhattan, NY · On-site

$120 - $160/hr

About the Role We're looking for a Senior ML Translational Scientist to help turn Evvy's microbiome data into the diagnostic and prognostic tools that power our products. You'll work with the world ...

New

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

The Role We are seeking a ML Scientist that will be responsible for building GAI/LLM models end-to-end, from developing the data pipeline to model deployment, to solving real-world problems in the e ...

Evvy

Translational ML Scientist

Manhattan, NY · On-site

$140 - $200/hr

About the Role We're looking for a Senior ML Translational Scientist to help turn Evvy's microbiome data into the diagnostic and prognostic tools that power our products. You'll work with the world ...

lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Core responsibilities As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling ...

Lululemon

Applied AI/ML Scientist

Seattle, WA · On-site

Core responsibilities As an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling ...

SentiLink

Staff Applied ML Scientist

As a Staff Applied ML Scientist, you will build core products that identify fraudsters and advance financial risk products, requiring deep domain understanding and strong technical abilities.

lululemon

Senior Applied AI/ML Scientist

Seattle, WA · On-site

... AI/ML Scientist, you lead the delivery of AI/ML solutions for complex business challenges, translating business requirements into scalable, production-ready models and intelligent systems. You ...

SentiLink

Senior Applied ML Scientist

As a Senior Applied ML Scientist, you will build core products that identify fraudsters and advance the company's suite of products in financial risk, requiring deep domain understanding and strong ...

lululemon

Staff Applied AI/ML Scientist

Seattle, WA · On-site

Core responsibilities As a Staff Applied AI/ML Scientist, you define, lead, and scale AI/ML solutions aligned to business outcomes. You provide technical leadership and direction, design the solution ...

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How much do ml scientist jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ml scientist in the United States is $57.49, according to ZipRecruiter salary data. Most workers in this role earn between $38.70 and $73.80 per hour, depending on experience, location, and employer.

What is an ML scientist?

ML Scientists, or Machine Learning Scientists, are professionals who research, design, and develop algorithms that enable computers to learn from and make predictions or decisions based on data. They often work at the intersection of computer science, statistics, and domain expertise to solve complex problems using machine learning techniques. Their responsibilities may include building and optimizing models, conducting experiments, analyzing results, and collaborating with engineers and data scientists to deploy solutions. ML Scientists are employed in various industries, such as technology, healthcare, finance, and more, where they help drive innovation by leveraging data.

What are the key skills and qualifications needed to thrive as an ML scientist?

To thrive as an ML Scientist, you need strong knowledge of machine learning algorithms, statistics, and programming languages like Python or R, typically supported by an advanced degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools for data manipulation and visualization is crucial, along with experience using cloud platforms like AWS or Azure. Excellent problem-solving, critical thinking, and communication skills help translate complex data insights into actionable business solutions. These skills ensure the effective development, deployment, and interpretation of machine learning models that drive innovation and informed decision-making.

What are some common challenges ML scientists face when deploying models to production environments?

ML Scientists often encounter challenges when transitioning models from research to production, such as ensuring model scalability, maintaining data consistency, and addressing performance degradation over time. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, monitoring deployed models for concept drift and retraining needs is a critical responsibility to maintain accuracy and reliability in real-world applications.

What is the difference between Ml Scientist vs Data Analyst?

AspectML ScientistData Analyst
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; strong programming skillsBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentResearch-focused, developing models, experimenting with algorithmsData cleaning, reporting, and interpreting data for business insights
Industry UsageTech companies, research institutions, AI developmentBusiness, marketing, finance, healthcare sectors

ML Scientists focus on developing and refining machine learning models using advanced algorithms, often working in research or AI development environments. Data Analysts primarily interpret data to generate reports and insights for business decision-making. While both roles require strong analytical skills, ML Scientists typically have more technical credentials and work on complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization for practical applications.

Is machine learning a high paying job?

Machine learning scientists typically earn high salaries due to the specialized skills required, such as programming, statistics, and data analysis. Salaries vary by experience, location, and industry, but overall, it is considered a well-compensated profession in the tech field.

What does a machine learning scientist do?

A machine learning scientist develops algorithms and models that enable computers to learn from data and make predictions or decisions. They analyze large datasets, select appropriate techniques, and often use tools like Python, TensorFlow, or PyTorch to build and optimize models for applications such as image recognition, natural language processing, and predictive analytics.
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Ml Scientist jobs near you
Infographic showing various Ml Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $119,587 per year, or $57.5 per hour.

AI/ML Scientist/Developer

Axle

Bethesda, MD • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

(ID: 2025-0402)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Axle is seeking a AI/ML Scientist/Developer to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center On-Site in Bethesda, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.
Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Overview
The AI/ML Scientist/Developer will develop innovative computational models to predict and optimize organoid growth and differentiation protocols. This position represents a unique opportunity to apply cutting-edge machine learning techniques to advance organoid standardization and contribute to the development of predictive models for tissue engineering applications.
Responsibilities
  • The successful candidate will design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
  • They will develop in silico models that can simulate organoid growth dynamics and identify optimal conditions for reproducible organoid generation.
  • The role involves creating feedback loops between experimental validation and computational prediction to iteratively improve protocol standardization.
  • Collaboration with experimental teams to design validation experiments and with data scientists to integrate multi-modal datasets will be essential components of this position.

Required Qualifications
  • Candidates must possess a PhD in computer science, engineering, applied mathematics, or a related field with demonstrated experience in AI/ML model development.
  • Strong programming skills in Python, R, or similar languages are required, along with experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Previous experience applying computational methods in biological laboratory settings is necessary, with knowledge of experimental design principles and biological data types.

Preferred Qualifications
  • Experience with organoid systems or tissue engineering applications is highly desirable.
  • Knowledge of differential equations, systems biology modeling, and experience with deep learning approaches for biological applications will be considered strong assets.
  • Familiarity with cloud computing platforms and containerization technologies is preferred.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
#IND
Salary Range
$100,000-$130,000 USD

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