Jobs in the United States

25+ jobs

Added 3 mins ago
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Sr. Associate
Pfizer
New York City, NY
- $79,400 to $132,400 USD / year
The Senior Associate, Solutions Software Engineer is a hands-on individual contributor who designs, builds, integrates, and supports digital solutions using approved enterprise platforms,…
Added 3 mins ago
Associate Data Engineer – AI & Analytics - 2027
IBM
Buffalo, NY
As an Associate Data Engineer at IBM, you'll help organizations transform data into actionable insights that improve decision-making, accelerate innovation, and solve complex business…
Added 4 mins ago
Staff Full-stack Engineer - Shopping (Remote-eligible)
Capital One
Albany, NY
As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of…
Added 4 mins ago
Data Scientist 1
Baylor Scott & White Health
Albany, NY
Applied Data Science and Experimentation | 20% : Apply statistical analysis, machine learning, natural
Added 4 mins ago
Lead Director, Software Development Engineering
CVS Health
New York, NY
This leadership role has a broad technical portfolio of data, analytics, software and machine learning assets that ensure our teams are able to build and deploy intelligence at scale across…
Added 4 mins ago
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluations)
Capital One
New York, NY
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 5 mins ago
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Senior Data Engineer - AWS
TEKsystems
New York, NY
- $109,700 to $164,500 USD / year
We are seeking a highly skilled Sr. Data Engineer with strong expertise in AWS Data & Analytics ecosystem, and Snowflake data platform to design and deliver modern, scalable data solutions.
Added 5 mins ago
Senior Staff Engineer - Agentic Identity
Cisco
New York, NY
Join us as we pursue our vision to make machine data accessible, usable, and secure for everyone. As AI agents rapidly emerge as active users - executing searches, calling APIs, and…
Added 5 mins ago
AI/HPC Network Performance Engineer
Meta
New York, NY
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy,…
Added 5 mins ago
Sr. Associate, Data Engineer PySpark
KPMG LLP
NEW YORK, NY
…excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both…
Added 5 mins ago
Senior Lead Software Engineer
JPMorgan Chase
New York, NY
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products as a Senior Lead Software Engineer at JPMorgan…
Added 5 mins ago
Software Engineer, AI/ML
Meta
New York, NY
Meta is seeking an AI/ML Engineer to design, build, and deploy machine learning systems that power some of the world's most widely used products and platforms. In this role, you will…
Added 5 mins ago
Staff Software Engineer, Server and Full Stack, Growth and Discovery, DeepMind
Google
New York, NY
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As…
Added 14 mins ago
Engineer
Samsung Austin Semiconductor, LLC.
San Jose, CA
Design and document major units in a GPU pipeline targeted at mobile graphics and machine learning.
Added 16 mins ago
Software Engineering Manager, AI/ML, Google Labs
Google
Mountain View, CA
5 years of experience leading ML design and optimizing end-to-end machine learning (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Added 16 mins ago
Senior Research Engineer, GenMedia Safety, DeepMind
DeepMind
Mountain View, CA · New York, NY · San Francisco, CA
2 years of experience with machine learning algorithms, research methodologies, and language modeling.
Added 43 mins ago
ENGINEER QUALITY 3
HII
Goose Creek, SC
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…
Added 43 mins ago
ENGINEER MANUFACTURING 2 / WEEKEND SHIFT AVAILABLE
HII
Goose Creek, SC
We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII's diverse workforce includes skilled…
Added 1 hour ago
Senior Staff Engineer - Agentic Identity
Cisco
Charleston, WV
Join us as we pursue our vision to make machine data accessible, usable, and secure for everyone. As AI agents rapidly emerge as active users - executing searches, calling APIs, and…
Added 1 hour ago
Data Engineer
Sedgwick Claims Management Services Inc.
Telecommuter, TX
PRIMARY PURPOSE: The Gen AI Engineer within the Transformation Office serves as the hands‑on architect of the enterprise data supply chain for the organization’s most advanced analytics,…
Added 1 hour ago
Software Test Engineer (Active Security Clearance)
IERUS Technologies, Inc.
Huntsville, AL
Added 1 hour ago
Software Engineer (Active Security Clearance)
IERUS Technologies, Inc.
Huntsville, AL
Added 1 hour ago
TJ
Senior Software Engineer
Third-Party Job Posts
United States
- $140,000 to $180,000 USD / year
As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.…
Added 1 hour ago
TJ
Senior Software Engineer
Third-Party Job Posts
United States
- $140,000 to $180,000 USD / year
As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.…
Added 1 hour ago
Full Stack Engineer Stf
Lockheed Martin
Virtual Three, MI
The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy engineer with hands-on experience in developing AI/ML software in support of the AI Consulting team.…

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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