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Ml Scientist Jobs (NOW HIRING)

EpiVax

AI/ML Scientist

Providence, RI · On-site

AI/ML Scientist Company Overview: EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell ...

EpiVax

AI/ML Scientist

Providence, RI · On-site

AI/ML Scientist Company Overview: EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell ...

Manifold Bio

AI/ML Scientist

Boston, MA · On-site

$140K - $225K/yr

Mentor and guide junior scientists and engineers in advanced ML techniques and research methodologies * Drive strategic research planning and identify promising new directions for AI-driven drug ...

University of Rochester

$100K - $140K/yr

This is a unique opportunity to apply cutting-edge AI/ML methods to some of the most challenging scientific and engineering problems in inertial confinement fusion (ICF), high-energy-density physics ...

York Solutions, LLC

AI/ML Scientist

Chicago, IL

Contract to Hire Job Summary We seek a highly talented and passionate AI/ML Scientist to join our Product-focused AI team. This individual will be critical in developing and implementing novel ...

insitro

(Senior) ML Scientist

South San Francisco, CA · On-site

$183K - $238K/yr

Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline. * Extensive hands on experience developing ML methods for biological data modalities

Cleerly, LLC

Sr. ML Scientist

Boston, MA · On-site +1

In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions ...

Cleerly

Sr. ML Scientist

Boston, MA · On-site

In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions ...

Wispr Flow

ML Scientist

San Francisco, CA

$185K - $280K/yr

About the Role As an ML scientist at Wispr, you'll play a crucial role in building the first capable, habit‑forming voice interface that scales to a billion users. Members of our technical staff ...

Wispr Flow

ML Scientist

San Francisco, CA · On-site

$185K - $280K/yr

About the Role As a ML scientist at Wispr, you'll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are ...

ECS

Data/ML Scientist SME

Falls Church, VA · On-site

Everforth ECS is seeking a Data/ML Scientist SME to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award.

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

$115K - $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 in Frederick, MD. The Standardized ...

Axle

AI/ML Scientist/Developer

Frederick, 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 in Frederick, MD. The Standardized ...

Axle

AI/ML Scientist/Developer

Frederick, MD · On-site

$115K - $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 in Frederick, MD. The Standardized ...

General Motors

Senior AI/ML Scientist

Milford, MI · On-site

You will work cross-functionally with engineers, data scientists, simulation specialists, domainexpertsand platform teams to define and execute high-impact AI/ML initiatives. Your role will blend ...

General Motors

Senior AI/ML Scientist

Milford, MI · On-site

You will work cross-functionally with engineers, data scientists, simulation specialists, domain experts and platform teams to define and execute high-impact AI/ML initiatives. Your role will blend ...

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Ml Scientist information

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How much do ml scientist jobs pay per hour?

As of Jun 17, 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 are the key skills and qualifications needed to thrive as an ML Scientist, and why are they important?

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 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.

What are ML Scientists?

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 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.
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Ml Scientist jobs near you
Infographic showing various Ml Scientist job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $119,587 per year, or $57.5 per hour.
AI/ML Scientist

AI/ML Scientist

EpiVax

Providence, RI • On-site

Full-time

Posted 12 days ago

Job description


AI/ML Scientist


Company Overview:

EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell epitope identification and characterization, we employ a wide range of validated in silico and in vitro techniques. This comprehensive approach provides accurate and thorough insights into candidate immunogenicity, ensuring the effectiveness and safety of our clients' products.

Role Summary:

EpiVax is seeking an AI/ML Scientist to expand its technology team. The AI/ML Scientist will focus on analyzing large-scale biological datasets and on developing new models to advance our understanding of the adaptive immune system, as it relates to therapeutic development. The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology, bioinformatics, and programming teams.

Key Responsibilities:

  • Play a leading role in sustaining EpiVax's competitiveness in the field of Computational Immunology
  • Design and implement cutting-edge machine learning and deep learning models to analyze large-scale immunological datasets
  • Design and implement generative AI frameworks to advance and streamline the analysis of protein and peptide sequences
  • Collaborate with the IT and programming teams to integrate new models into EpiVax's analysis platform
  • Collaborate with the scientific team to translate findings into publications or presentations
  • Maintain and improve professional knowledge of technological advancements in immunogenicity assessment, data manipulation, statistical analyses, machine learning, and AI

Qualifications:

  • M.S. or Ph.D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent
  • 2+ years of industry experience
  • Demonstrated success applying AI/ML to biological datasets, ideally in immunology related contexts
  • Experience with cloud computing and high-performance data infrastructure



Technical Skills:

  • Technical background in AI/ML techniques, including generative AI and Large Language Models
  • Strong understanding of statistical modeling, feature engineering, and model interpretability
  • Intermediate understanding of immunology, biology, or biochemistry
  • Proficiency in Python and R, and deep learning frameworks such as PyTorch or TensorFlow.
  • Advanced expertise in T cell biology is preferred
  • Proficiency with PL/SQL and Oracle databases is preferred
  • Experience with structural biology modeling techniques is a plus
  • Strong scientific curiosity and ability to translate biological questions into computational strategies
  • Excellent communication skills to convey complex analyses across interdisciplinary teams

EpiVax is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status

EpiVax logo

About EpiVax

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

Providence, RI, US

Year founded

1998

Social media

Twitter

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