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Machine Learning Chief Scientist Jobs (NOW HIRING)

Cellarity

Machine Learning Scientist

Somerville, MA · On-site

We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and adapting proprietary foundation models to enable Cellarity's predictive drug discovery platform. As a ...

Cellarity

Machine Learning Scientist

Somerville, MA · On-site

We seek a Machine Learning Scientist to join our ML team and lead focused efforts in applying and adapting proprietary foundation models to enable Cellarity's predictive drug discovery platform. As a ...

Teladoc

Senior Machine Learning Scientist

Concord, NC · On-site +1

Summary of Position The Machine Learning effort is part of the Data Science team at Teladoc Health. In this role, you will partner with Product, Engineering, Clinical,Operations, Marketing and Data ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

Saince, Inc.

Machine Learning Scientist

Alpharetta, GA · On-site

Company Description Saince (pronounced Science) is a leading clinical documentation solutions and ... Research, design and prototype novel models based on machine learning, data mining, and statistical ...

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Machine Learning Chief Scientist information

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How much do machine learning chief scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning chief scientist in the United States is $143,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $156,000.00 per year, depending on experience, location, and employer.

What does a machine learning chief scientist do?

A Machine Learning Chief Scientist leads research and development efforts in machine learning within an organization. They set the scientific direction, oversee teams of researchers and engineers, and drive innovation by designing new algorithms and models. Their role often includes collaborating with other departments, publishing research, and ensuring that the company's machine learning initiatives align with broader business goals. They are also responsible for staying updated on the latest advancements in the field and mentoring junior scientists.

How does a machine learning chief scientist typically collaborate with cross-functional teams within an organization?

A Machine Learning Chief Scientist frequently interacts with engineers, data scientists, product managers, and leadership to align research priorities with business goals. They guide teams in translating advanced research into scalable solutions, facilitate knowledge sharing, and ensure that experimental findings are communicated effectively across departments. This role often requires balancing long-term innovation with immediate project needs, making clear communication and strategic planning essential for successful collaboration.

What are the key skills and qualifications needed to thrive as a machine learning chief scientist, and why are they important?

To thrive as a Machine Learning Chief Scientist, you need deep expertise in machine learning algorithms, advanced mathematics, and research methodologies, often supported by a Ph.D. in computer science or a related field. Mastery of programming languages like Python, familiarity with ML frameworks (such as TensorFlow or PyTorch), and experience with large-scale data systems are typically required. Exceptional leadership, strategic vision, and the ability to communicate complex concepts clearly are vital soft skills for driving innovation and guiding teams. These skills and qualities are crucial for developing cutting-edge solutions, advancing organizational goals, and maintaining a competitive edge in rapidly evolving technical landscapes.

What are popular job titles related to Machine Learning Chief Scientist jobs?

For Machine Learning Chief Scientist jobs, the most frequently searched job titles are:

Scientist, Machine Learning

South San Francisco, CA • On-site

Atomic AI
Biotechnology Research and Development • 11 - 50 employees
Learn more about Atomic AIexternal

$170K - $220K/yr

Full-time

Re-posted 15 days ago

Job description

At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the cover of Science, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and unique foundation models fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success.
The opportunity
As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform. You will proactively shape the directions of the machine learning efforts and those of the whole company.
Primary responsibilities
  • Design and develop novel machine learning models for RNA structure prediction and drug targeting.
  • Evaluate and advance the state of the art of our structure prediction platform.
  • Collaborate with our wetlab team on the targeted acquisition of experimental data to improve our machine learning models.
  • Develop high-quality code in a team setting.
  • Analyze, interpret, and organize results and present progress to colleagues in regular research meetings.
  • Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.

About you
  • Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field.
  • 4+ years of experience developing machine learning methods for scientific applications.
  • Foundational knowledge of machine learning and underlying mathematical concepts.
  • Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).
  • Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.

Pluses
  • Publications at major machine learning conferences or in major scientific journal
  • Research experience related to structural biology, molecular design, and drug discovery.
  • Foundational knowledge of physics, chemistry, and molecular biology.
  • Demonstrated ability to develop performant code.

Salary Range (all levels): $170,000/year to $220,000/year + equity + benefits. This range reflects variations in seniority, expertise, and skills.
Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
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About Atomic AI

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

South San Francisco, CA, US

Year founded

2021

Social media

Twitter

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