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Senior Applied Scientist Machine Learning Jobs (NOW HIRING)

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 ... Learn from your senior peers how to identify new areas to improve our infrastructure and machine ...

Senior Applied Scientist

New York, NY · On-site

$167K - $226K/yr

The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments. As Senior Applied Scientist, you lead the science on a ...

Senior Applied Scientist

Bellevue, WA · On-site

$102K - $140K/yr

Required : • 6+ years in applied machine learning, AI research, or data science, with models that ... senior leaders Preferred : • Experience applying ML in industrial or physical domains ...

Your role will involve working closely with our custom-built Machine Learning accelerators ... As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying ...

Senior Applied Scientist

San Francisco, CA

$107K - $147K/yr

At Amazon, we leverage advanced robotics, machine learning, and artificial intelligence to solve ... As a Sr. Applied Scientist in Multi-Modal Perception, you will apply deep computer vision expertise ...

Senior Applied Scientist

San Francisco, CA · On-site

$107K - $147K/yr

At Amazon, we leverage advanced robotics, machine learning, and artificial intelligence to solve ... As a Sr. Applied Scientist in Multi-Modal Perception, you will apply deep computer vision expertise ...

Senior Applied Scientist, Annapurna ML

Seattle, WA · On-site

$104K - $142K/yr

Your role will involve working closely with our custom-built Machine Learning accelerators ... As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying ...

Senior Applied Scientist

San Jose, CA

$107K - $146K/yr

Senior Applied Scientist - Brand Intelligence Predict The Opportunity Join us at Adobe as a Senior ... MS or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent ...

Sr. Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

They are seeking a Senior Applied Scientist to improve the quality and controllability of ... D. in Computer Science, Machine Learning, or a related field preferred. • Proven track record in ...

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

San Jose, CA · On-site

$107K - $146K/yr

Senior Applied Scientist - Brand Intelligence Predict The Opportunity Join us at Adobe as a Senior ... MS or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent ...

Senior Applied Scientist

New York, NY · On-site

$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 ...

Senior Applied Scientist, ASCS AI Lab Team

Seattle, WA · On-site

$104K - $142K/yr

... other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog ... As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning ...

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Senior Applied Scientist Machine Learning information

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$66.5K

$110.5K

$164.5K

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

As of Jul 16, 2026, the average yearly pay for senior applied scientist machine learning in the United States is $110,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $125,000.00 per year, depending on experience, location, and employer.
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Senior Applied Scientist - Moloco Ads

Senior Applied Scientist - Moloco Ads

Moloco

Seattle, WA • On-site, Remote

$104K - $142K/yr

Other

Posted 10 days ago


Job description

About the Role

The impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, 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 of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.

Here's what you'll be working on:
  • Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.  
  • Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
  • Complete task as part of larger projects to complete deep unbiased analyses.  
  • Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.
  • Analyze massive, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions.
  • Collaborate closely with product, engineering, and other scientists to iterate on experiments, define roadmaps, and translate business requirements into scientifically sound solutions.
  • Improve the reliability, latency, and efficiency of online prediction and decision systems by applying rigorous experimentation, monitoring, and continual model refinement.
Basic Qualifications:
  • Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
  • At least 4 years of engineering or applied science experience
  • Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
  • Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science 
  • Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company