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Ml Scientist Jobs (NOW HIRING)

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

They are seeking an AI/ML Scientist/Developer to develop innovative computational models to predict and optimize organoid growth and differentiation protocols. Responsibilities : • The successful ...

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

The AI/ML Scientist will be responsible for building GAI/LLM models end-to-end and collaborating with cross-functional teams to enhance customer experiences in the e-commerce sector. Responsibilities ...

Triwill Group

Staff Applied AI/ML Scientist

Manhattan, NY · 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

Triwill Group

Staff Applied AI/ML Scientist

Charlotte, NC · 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

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 ...

Lululemon Athletica

Principal AI/ML Scientist

Seattle, WA · On-site

$266.72 - $350.07/hr

Core responsibilities As a Principal Applied AI/ML Scientist, you define and drive the solutions for enterprise‑level AI/ML use‑cases, influencing multiple solutions across one or more business ...

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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.

Senior AI/ML Scientist

Blue Cross and Blue Shield of North Carolina

Little Rock, AR • On-site

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted 20 days ago

Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

195th of 310 rated insurance

Job description

Job Description

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

What You Will Do

  • Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.

  • Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.

  • Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.

  • Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.

  • Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.

  • Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.

  • Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.

  • Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.

  • Drive continuous improvement by experimenting with novel techniques and refining existing models.

  • Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

#LI-Hybrid

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.

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