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Applied Scientist Machine Learning Jobs (NOW HIRING)

Red Violet, Inc.

Applied Scientist, AI

Seattle, WA · On-site

$195K - $205K/yr

Apply advanced machine learning techniques to analyze large and complex datasets, extract ... TO APPLY: please email resume to resumes@redviolet.com with a reference to Applied Scientist, AI ...

New

ISEE

Research Scientist - Machine Learning

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

Adobe

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Adobe is dedicated to changing the world through digital experiences, and they are seeking a Senior Applied Scientist to join their Applied Science & Machine Learning group. The role focuses on ...

Garner Health

Staff Applied Scientist

New York, NY

$260K - $382K/yr

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

Garner Health

Senior Applied Scientist

New York, NY

$236K - $260K/yr

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Samsara

Senior+ Applied Scientist

$93K - $127K/yr

The Samsara Machine Learning / Computer Vision team builds end-to-end applications to power different product pillars at Samsara. We are looking for a talented applied scientist to generate insights ...

Microsoft

Applied Scientist

Redmond, WA · On-site

... Applied Scientist II to help build the next generation platform for Bing and Microsoft AI.Our ... We develop advanced AI and machine learning solutions for image content discovery, selection ...

Strayos

$13 - $17.50/hr

Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science ...

Rule14

Be Seen First

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 ...

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All JobsApplied Scientist Machine Learning Jobs

Applied Scientist Machine Learning information

See salary details

$22.5K

$129.7K

$204K

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

As of Aug 7, 2026, the average yearly pay for applied scientist machine learning in the United States is $129,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an applied scientist in machine learning, and why are they important?

To thrive as an Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, computer science, and typically a master's or PhD in a related field. Proficiency in programming languages like Python or Java, experience with ML frameworks such as TensorFlow or PyTorch, and familiarity with cloud platforms and data processing tools are crucial. Strong problem-solving skills, intellectual curiosity, and the ability to communicate complex ideas clearly make candidates stand out. These skills ensure effective development, implementation, and communication of advanced machine learning solutions that drive business impact.

How does an applied scientist in machine learning typically collaborate with software engineers and data engineers on projects?

Applied Scientists in Machine Learning often work closely with software engineers and data engineers to bring machine learning models from prototype to production. They usually develop and validate models, while data engineers assist in preparing and managing large datasets, and software engineers help integrate models into scalable applications. Effective communication and cross-functional teamwork are essential, as the role requires translating scientific findings into practical solutions that align with business goals. Regular meetings, code reviews, and collaborative problem-solving sessions are common, ensuring smooth transitions between research and deployment phases.

What does an applied scientist in machine learning do?

An Applied Scientist in Machine Learning develops and implements machine learning models to solve real-world problems. They work on collecting and preprocessing data, designing algorithms, and evaluating model performance. Their work often bridges research and product development, collaborating with engineers and data scientists to deploy solutions in production. Applied Scientists also keep up-to-date with the latest advancements in machine learning to continuously improve systems and outcomes.
More about Applied Scientist Machine Learning jobs
What are the most commonly searched types of Applied Scientist Machine Learning jobs? The most popular types of Applied Scientist Machine Learning jobs are:
What states have the most Applied Scientist Machine Learning jobs? States with the most job openings for Applied Scientist Machine Learning jobs include:
What job categories do people searching Applied Scientist Machine Learning jobs look for? The top searched job categories for Applied Scientist Machine Learning jobs are:
Applied Scientist Machine Learning jobs near you
Infographic showing various Applied Scientist Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,694 per year, or $62.4 per hour.

Scientist, Machine Learning

Atomic AI

South San Francisco, CA • On-site

$170K - $220K/yr

Full-time

Re-posted 10 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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