Jobs in the United States

25+ jobs

Added 1 min ago
Data Engineering, Architecture & Applied Data Science, III
Electric Power Engineers
Austin, TX
EPE is seeking a Staff Engineer III with demonstrated experience in data engineering, data architecture, and applied data science to support utility and energy-sector consulting…
Added 1 min ago
IT Lab Computing Support Specialist
Orion Innovation
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…delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and…
Added 3 mins ago
Sr. Power Electronics Electrical Engineer
BorgWarner Noblesville LLC
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Added 4 mins ago
Senior Principal Systems Engineer
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SAIC seeks a highly experienced Senior Principal Systems Engineer to support the US Space Force, Space Systems Command, in performing operational maintenance and sustainment of ground-based…
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Cislunar Space Domain Awareness (SDA) Aerospace Systems Engineer
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…we benefit from streamlined authorities and direct access to senior Government decisionmakers, enabling us to move quickly and execute aggressive schedules using the most innovative…
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Added 9 mins ago
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Traveling Senior Electrical Superintendent - Data Centers
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Senior Technical Sales Engineer – Industrial Services
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SUPERVISORY GENERAL ENGINEER
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Construction Manager, GES NA, Startup, Engineering Risk Management (ERM)
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Added 19 mins ago
Senior Electrical Engineer - Federal
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Senior Platform Software Engineer - OCI
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- $92,500 to $209,500 USD / year
Oracle Cloud Infrastructure (OCI) is looking for a Senior Platform Software Engineer to join the PKI team responsible for building and operating cloud-scale Public Key Infrastructure…
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Staff Full-stack Engineer - Shopping (Remote-eligible)
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Sr Site Reliability Engineer -Remote US
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…include but not limited to CI/CD processes, working closely with development teams to ensure a manageable and secure migration of change into the production environment. Other…
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- $200,000 to $210,000 USD / year
The purpose of this position is to lead a large portfolio or client account and provide senior technical and operational support to the account staff for the development of policies and…
Added 20 mins ago
Frontend Engineer
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Help create seamless digital experiences that support people on their hearing journey. As a Frontend Engineer , you will build and evolve customer-facing web experiences for Jabra Enhance,…
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Senior QA Automation Engineer - Playwright & Selenium
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- $50,000 to $92,500 USD / year
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Added 20 mins ago
Software Development Engineer, Aurora Control Plane
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1+ years of software development engineer or related occupational experience
Added 20 mins ago
Solutions Architect III, Bedrock Customer Success - AWS Mantle
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Senior Accelerator Engineer, Cloud AI/ML server team
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AWS Hardware Engineering is looking for a Senior Hardware Development Engineer to own the technical roadmap across all AI accelerator platforms in the organization. You will be the…

Senior Machine Learning Engineer - Applied Scientist

Microsoft · WA, United States · CA, United States · NY, United States · Redmond, WA, United States · Mountain View, CA, United States · San Francisco, CA, United States · Redmond, United States · Mountain View, United States · New York, United States · San Francisco, United States · $119,800 to $261,000 USD / year

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Microsoft

Senior Machine Learning Engineer - Applied Scientist

WA, United States
CA, United States
NY, United States
Redmond, WA, United States
Mountain View, CA, United States
San Francisco, CA, United States
Redmond, United States
Mountain View, United States
New York, United States
San Francisco, United States

$119,800 to $261,000 USD / year

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Job details

Pay: $119,800 to $261,000 USD / year
Apply by: May 1, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Overview

We are looking for a Senior Machine Learning Engineer - Applied Scientist to help define, evaluate, and build the next generation of AI-powered product experiences. This role requires a leader who combines deep applied science expertise in LLMs, evaluation systems, AI, MLOps, experimentation, and software engineering with strong product judgment and a proven ability to ship high-quality AI solutions. You will play a critical role in shaping how AI capabilities are developed, measured, improved, and brought into production. The ideal candidate has experience building AI-based products end to end, defining what success looks like for customers and the business, and creating rigorous evaluation frameworks that guide fast, high-confidence product iteration. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Lead applied science strategy for AI-powered product areas, from ambiguous opportunity identification through experimentation, launch, and continuous improvement.
Define what success looks like for AI product experiences, including customer value, quality thresholds, reliability, safety, engagement, and measurable business impact.
Design and operationalize LLM evaluation frameworks across the product development lifecycle, including early prototyping, model/prompt iteration, feature development, pre-launch validation, launch readiness, and post-launch monitoring.
Build evaluation methodologies for LLM-based, agentic, retrieval-augmented, and multimodal AI systems, including text, image, document, audio, video, and interaction-based experiences where applicable.
Develop robust offline experimentation and evaluation pipelines to compare models, prompts, system designs, retrieval strategies, grounding quality, tool use, and end-to-end product behavior.
Partner closely with engineering and PM leadership to align science priorities with product strategy, roadmap decisions, customer needs, and execution plans.
Work with software engineering teams to produce AI systems with strong attention to reliability, scalability, latency, observability, maintainability, and MLOps best practices.
Drive fast iteration cycles by forming hypotheses, defining metrics, running experiments, interpreting results, and recommending clear product or technical actions.
Establish quality bars and decision-making frameworks for AI launches, including evaluation scorecards, regression testing, guardrail metrics, and responsible AI considerations.
Mentor scientists and engineers, raise the technical bar, and influence cross-team best practices for AI development, experimentation, and evaluation.
Communicate findings, tradeoffs, risks, and recommendations clearly to technical and non-technical stakeholders.

Qualifications

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

PhD in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Significant experience building, evaluating, and shipping AI/ML-powered products or services.
Hands-on experience with large language models, including prompt engineering, RAG, agents, tool use, model comparison, failure analysis, and evaluation-driven iteration.
Deep understanding of LLM evaluation throughout the development lifecycle, including dataset creation, annotation strategies, automated and human evaluation, benchmark design, regression testing, launch criteria, and production monitoring.
Experience designing offline experiments and interpreting results to inform model, system, and product decisions.
Experience evaluating multimodal AI systems or AI experiences involving multiple input/output modalities.
Solid understanding of product success metrics and ability to translate customer/business goals into measurable scientific and technical objectives.
Solid software engineering skills and experience collaborating with engineers to build production-quality AI systems.

•

#AI #LLM #Evals #AppliedScience

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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More about this job

Skills

Machine learning
Grading systems
Process improvement
Leadership
Drive at high speeds
Decision making
Statistics
Computer science
Computer engineering
Research
ML

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