... a Senior Applied Scientist to help drive the future of credit applied science. In this role, you ... Responsibilities : • Design, build, and optimize machine learning models that support credit risk ...
... a Senior Applied Scientist to help drive the future of credit applied science. In this role, you ... Responsibilities : • Design, build, and optimize machine learning models that support credit risk ...
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 ...
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 ...
Senior Applied Scientist, Credit Risk
New York, NY · On-site
$165K - $228K/yr
About the Role We're looking for a Senior Applied Scientist to help drive the future of credit ... You'll work at the intersection of machine learning, statistics, economics, and product strategy.
Senior Applied Scientist, Credit Risk
New York, NY · On-site
$165K - $228K/yr
About the Role We're looking for a Senior Applied Scientist to help drive the future of credit ... You'll work at the intersection of machine learning, statistics, economics, and product strategy.
Senior Applied Scientist, Credit Risk
New York, NY · Remote
$165K - $228K/yr
About the Role We're looking for a Senior Applied Scientist to help drive the future of credit ... You'll work at the intersection of machine learning, statistics, economics, and product strategy.
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Senior Applied Scientist, Credit Risk
New York, NY · Remote
$165K - $228K/yr
About the Role We're looking for a Senior Applied Scientist to help drive the future of credit ... You'll work at the intersection of machine learning, statistics, economics, and product strategy.
Senior Applied Scientist, Last Mile Delivery Automation
Bellevue, WA · On-site
$103K - $141K/yr
We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms ...
Senior Applied Scientist, Last Mile Delivery Automation
Bellevue, WA · On-site
$103K - $141K/yr
We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms ...
We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms ...
We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms ...
Senior Applied Scientist
Reston, VA · On-site
$95K - $130K/yr
Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior ... Leverage your deep knowledge of AI principles, including machine learning, natural language ...
Senior Applied Scientist
Reston, VA · On-site
$95K - $130K/yr
Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior ... Leverage your deep knowledge of AI principles, including machine learning, natural language ...
Senior Applied Scientist, Workplace Health & Safety
Bellevue, WA · On-site
$103K - $141K/yr
Are you an experienced scientist passionate about pushing the boundaries of machine learning ... We are looking for a Senior Applied Scientist with a proven track record of transforming research ...
Senior Applied Scientist, Workplace Health & Safety
Bellevue, WA · On-site
$103K - $141K/yr
Are you an experienced scientist passionate about pushing the boundaries of machine learning ... We are looking for a Senior Applied Scientist with a proven track record of transforming research ...
Senior Applied Scientist
$95K - $130K/yr
Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior ... Leverage your deep knowledge of AI principles, including machine learning, natural language ...
Senior Applied Scientist
$95K - $130K/yr
Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior ... Leverage your deep knowledge of AI principles, including machine learning, natural language ...
Senior Applied Scientist , Sponsored Products
New York, NY · On-site
$100K - $136K/yr
As a Senior Applied Scientist on this team you will: --Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. --Lead technical efforts within this team ...
Senior Applied Scientist , Sponsored Products
New York, NY · On-site
$100K - $136K/yr
As a Senior Applied Scientist on this team you will: --Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. --Lead technical efforts within this team ...
Senior Applied Scientist , Sponsored Products
$100K - $136K/yr
As a Senior Applied Scientist on this team you will: --Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. --Lead technical efforts within this team ...
Senior Applied Scientist , Sponsored Products
$100K - $136K/yr
As a Senior Applied Scientist on this team you will: --Act as the technical leader in Machine Learning and drive full life-cycle Machine Learning projects. --Lead technical efforts within this team ...
Senior Applied Scientist
Ann Arbor, MI · Hybrid
$89K - $122K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
Ann Arbor, MI · Hybrid
$89K - $122K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
New York, NY · Hybrid
$100K - $136K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
New York, NY · Hybrid
$100K - $136K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
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 ... Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning ...
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 ... Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning ...
Senior Applied Scientist
Eagan, MN · Hybrid
$93K - $127K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
Eagan, MN · Hybrid
$93K - $127K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
Eagan, MN · On-site
$93K - $127K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
Eagan, MN · On-site
$93K - $127K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist, ASCS AI Lab Team
$104K - $142K/yr
... other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog ... Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning ...
Senior Applied Scientist, ASCS AI Lab Team
$104K - $142K/yr
... other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog ... Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning ...
Senior Applied Scientist
Frisco, TX · Hybrid
$85K - $117K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
Senior Applied Scientist
Frisco, TX · Hybrid
$85K - $117K/yr
About the Role As a Senior Applied Scientist, you will lead end-to-end applied research projects ... PhD or Master's degree with equivalent industry experience in Computer Science, Machine Learning ...
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
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 ...
In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network ...
In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Microsoft Audience Network ...
Senior Applied Scientist Machine Learning information
See salary details
$66.5K - $75.4K
5% of jobs
$75.4K - $84.3K
11% of jobs
$91.7K is the 25th percentile. Wages below this are outliers.
$84.3K - $93.2K
11% of jobs
$93.2K - $102.1K
19% of jobs
The median wage is $104.7K / yr.
$102.1K - $111K
13% of jobs
$119.8K is the 75th percentile. Wages above this are outliers.
$111K - $120K
16% of jobs
$120K - $128.9K
9% of jobs
$128.9K - $137.8K
5% of jobs
$137.8K - $146.7K
4% of jobs
$146.7K - $155.6K
3% of jobs
$155.6K - $164.5K
3% of jobs
$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.
More about Senior Applied Scientist Machine Learning jobs
What cities are hiring for Senior Applied Scientist Machine Learning jobs? Cities with the most Senior Applied Scientist Machine Learning job openings:
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 Senior Applied Scientist Machine Learning jobs? States with the most job openings for Senior Applied Scientist Machine Learning jobs include:
What job categories do people searching Senior Applied Scientist Machine Learning jobs look for? The top searched job categories for Senior Applied Scientist Machine Learning jobs are:
Job description
Job Summary:
Ramp is building the smart infrastructure for finance teams, and they are seeking a Senior Applied Scientist to help drive the future of credit applied science. In this role, you will design, build, and optimize the models that power their credit risk systems, collaborating with various stakeholders to solve quantitative problems and influence company strategy.
Responsibilities:
• Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
• Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
• Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
• Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
• Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
• Generate and communicate data-driven insights that influence product, risk, and company strategy
• Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
• Contribute to best practices for model development, experimentation, documentation, testing, and production reliability
Qualifications:
Required:
• Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD
• Strong familiarity with the mathematical fundamentals of advanced statistics, machine learning, optimization, and/or economics
• Experience working with large datasets using Python and SQL
• Strong Python experience across exploratory data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas, scikit-learn, PyTorch, or similar libraries
• Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
• Track record of shipping high-quality machine learning products in production and at scale
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Preferred:
• PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
• Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
• Experience at a high-growth startup
• Experience leveraging AI/LLMs for development or for internal workflows
Company:
Ramp is a financial technology company that develops software for corporate spend management, finance operations, and business payments. Founded in 2019, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Ramp is building the smart infrastructure for finance teams, and they are seeking a Senior Applied Scientist to help drive the future of credit applied science. In this role, you will design, build, and optimize the models that power their credit risk systems, collaborating with various stakeholders to solve quantitative problems and influence company strategy.
Responsibilities:
• Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp
• Own the full applied science development lifecycle, from data exploration and feature development to model prototyping, deployment, monitoring, and iteration
• Investigate and evaluate new data sources, including structured and unstructured data, and integrate them into credit models where appropriate
• Develop backtesting, validation, and monitoring frameworks to evaluate model performance and business impact
• Apply methods from machine learning, statistics, causal inference, optimization, and economics to solve core business problems
• Generate and communicate data-driven insights that influence product, risk, and company strategy
• Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into clear objectives, scoped opportunities, and a practical applied science roadmap
• Contribute to best practices for model development, experimentation, documentation, testing, and production reliability
Qualifications:
Required:
• Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 3+ years of industry experience with a PhD
• Strong familiarity with the mathematical fundamentals of advanced statistics, machine learning, optimization, and/or economics
• Experience working with large datasets using Python and SQL
• Strong Python experience across exploratory data analysis, predictive modeling, and applied machine learning, using tools such as NumPy, pandas, scikit-learn, PyTorch, or similar libraries
• Strong communication: the ability to bridge technical methodology to meaningful data narratives to drive company decisions and strategy
• Track record of shipping high-quality machine learning products in production and at scale
• Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Preferred:
• PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
• Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
• Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
• Experience at a high-growth startup
• Experience leveraging AI/LLMs for development or for internal workflows
Company:
Ramp is a financial technology company that develops software for corporate spend management, finance operations, and business payments. Founded in 2019, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.