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Applied Scientist Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

The team conducts machine learning research, evaluates model performance, and partners closely with ... As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured ...

Defines and drives enterprise artificial intelligence and machine learning strategy aligned with ... Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics ...

New

Applied Scientist

OR · On-site +1

The team conducts machine learning research, evaluates model performance, and partners closely with ... As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured ...

New

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 ...

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

... machine learning teams and data science teams. As an Applied Scientist, you will participate as an ... individual contributor on research projects alongside other research scientists within the context ...

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 ...

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Applied Scientist Machine Learning information

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$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:
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.

Research Engineer / AI Research Scientist

Summa Linguae Technologies

New York, NY • Remote

$85/hr

Other

Posted 12 days ago


Job description

We are seeking highly skilled and research-driven AI professionals to join an exciting opportunity focused on advancing next-generation AI technologies. This role is ideal for candidates with strong expertise in Machine Learning, Large Language Models (LLMs), experimental research, and data analysis who are passionate about solving complex challenges in a collaborative, cutting-edge environment.

Position : Research Engineer / AI Research Scientist

Location: Remote (USA)

Working Hours: 35 Hours per Week

Payment Terms: 30 - 45 days from the date of invoice.


Key Responsibilities

  • Design, develop, and execute AI/ML experiments and evaluation frameworks.
  • Build and improve AI benchmarking methodologies for large language models and related systems.
  • Analyze experimental results and provide data-driven insights.
  • Develop scalable research tools using Python.
  • Collaborate with cross-functional research and engineering teams.
  • Maintain clean, reproducible code using Git and modern development practices.
  • Contribute to research documentation and technical reports.

Required Qualifications:

  • Master's or PhD in a STEM discipline such as:
    • Computer Science
    • Artificial Intelligence
    • Machine Learning
    • Statistics
    • Mathematics
    • Physics
    • Computational Sciences
    • Or a related technical field
  • Experience in one or more of the following roles:
    • Research Engineer
    • Research Scientist
    • Applied Scientist
    • Machine Learning Engineer
    • AI Researcher
    • Data Scientist
  • Strong proficiency in Python.
  • Hands-on experience with Machine Learning, Large Language Models (LLMs), experimentation, and data analysis.
  • Experience using Git, IDEs, and Jupyter Notebook/Google Colab environments.
  • Excellent analytical, research, and problem-solving skills.

Preferred Qualifications

  • Experience with AI evaluation, benchmarking, testing, or red teaming.
  • Research publications or notable contributions to AI/ML projects.
  • Experience designing and conducting experimental research.
  • Familiarity with modern AI evaluation methodologies and benchmark development.

Ideal Candidate

We are looking for candidates who possess:

  • Strong research aptitude and scientific thinking.
  • Excellent coding and debugging skills.
  • Ability to work independently in a remote environment.
  • Passion for advancing state-of-the-art AI systems.
  • Strong communication and collaboration skills.

Compensation

  • Schedule: 35 hours per week
  • Work Location: Remote (Within the United States)

Summa Linguae Technologies logo

About Summa Linguae Technologies

Sourced by ZipRecruiter

Our mission is to spark constant innovation. We enable each other to take full ownership of everything we do. We stay dynamic and challenge ourselves to master new skills—while having fun along the way. At Summa Linguae, we’re passionate about language and technology. We provide data solutions, localization, and managed services to many of the world’s biggest companies.

Industry

Translation services

Company size

51 - 200 Employees

Headquarters location

Westborough, MA, US

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