Jobs in the United States

25+ jobs

Added 5 mins ago
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GCP data Engineer
Cognizant
Helena, MT
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 7 mins ago
Senior Design Quality Engineer
Divergent
Torrance, CA
This Design Quality Engineer role involves bridging design and production, creating and optimizing innovative product designs for manufacturability, collaborating with cross-functional…
Added 28 mins ago
Senior Backend Engineer
Acuity Inc.
Conyers, GA
…Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s…
Added 28 mins ago
Lead Cybersecurity Test Engineer
Acuity Inc.
Conyers, GA
…Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s…
Added 28 mins ago
Data Scientist Asc - Early Career
Lockheed Martin
Marietta, GA
A collaborative engineer with strong expertise in applied statistics, machine learning, and data visualization. You thrive in fast‑paced, global environments, possess excellent…
Added 28 mins ago
Systems Engineer, Reliability and Maintainability Engineering - Level 4
Lockheed Martin
Marietta, GA
We are seeking a Level 4 Maintainability Engineer to support the design, development, verification, and sustainment of complex aerospace systems. In this role, you will apply…
Added 32 mins ago
Information Technology Manager (INTERNAL CANDIDATES ONLY)
Golden Empire Transit District
Bakersfield, CA
This classification is distinguished from the Information Technology Systems Analyst/Systems Engineer in that the Systems Engineer has responsibility for specific, assigned IT specialty…
Added 34 mins ago
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Robotics Software Engineer
True Talent Solutions Partners
Watertown, MA
- $130,000 to $180,000 USD / year
- Coordinate real-time robot software, motion-planning optimization, and machine-learning pipelines across platforms.
Added 36 mins ago
PN
Machine Learning Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $114,000 USD / year
PNNL is seeking a Machine Learning Engineer to implement and adapt research methods within shared software used by U.S. government stakeholders. You will work with researchers in areas such…
Added 36 mins ago
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Senior Machine Learning Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $140,200 USD / year
PNNL is seeking a Senior Machine Learning Engineer to implement, adapt, and mature research methods into software deployed primarily in unclassified sponsor environments. You will work…
Added 36 mins ago
PN
Lead Machine Learning Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $166,800 USD / year
PNNL is seeking a Lead Machine Learning Engineer to lead the development and evolution of software that brings emerging research methods into sponsor environments. You will work with…
Added 40 mins ago
Systems Engineer – Standards / Technical Specifications
VTG
Bethesda, MD
Ontology and Schema Design and Implementation: Evaluate sets of technical specifications in light of user needs and written policy. Work with stakeholders to capture the logic of the…
Added 53 mins ago
ENGINEER INDUSTRIAL 1- FALL NEW GRAD
HII
Pascagoula, MS
…methods. May assist facilities engineers in the planning and design of…
Added 1 hour ago
C
ML / Applied Scientist
Cognizant
Phoenix, AZ
- $115,000 to $130,000 USD / year
Google Cloud Professional Machine Learning Engineer certification.
Added 1 hour ago
C
GCP data Engineer
Cognizant
Phoenix, AZ
- $100,000 to $120,000 USD / year
Cognizant is seeking an experienced Knowledge Graph Data Engineer to build and operate the connectivity, profiling, and graph/search foundation that powers enterprise ontology and knowledge…
Added 1 hour ago
Enterprise Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Enterprise Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale…
Added 1 hour ago
Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring a Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale demo role.…
Added 1 hour ago
Associate Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Associate Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale demo…
Added 1 hour ago
WC
AI Solutions Engineer
Wings Credit Union
Colorado Springs, CO
- $108,000 to $126,000 USD / year
…Rather than simply implementing technology, the AI solutions engineer seeks to understand how work gets done today, challenges existing assumptions, and helps business teams discover new…
Added 1 hour ago
SoftwareEngineer - Applied Research & Technology
Acuity Inc.
Boulder, CO
As a Research Engineer in the Applied Research & Technology team at Acuity Intelligent Spaces, you will sit at the intersection of applied machine learning research, software engineering,…
Added 1 hour ago
Manager III, Security Engineer, AWS Vulnerability Management - Third Party Software and Software Supply Chain
Amazon.com Services LLC
Austin, TX
…who can think like a threat actor and build like a software engineer. You will lead a team of software development engineers and security engineers who design and ship the tools that…
Added 1 hour ago
Manufacturing Engineering, Structures
Vast
Long Beach, CA
Vast is looking for a Manufacturing Engineer, Structures, to help develop the systems behind our human-rated space stations. You will drive the development and execution of human-rated…
Added 1 hour ago
QA Engineer 2
Dexcom
Mesa
At the center of this mission, the Quality Engineer II plays a critical technical and leadership role. Operating as both a subject‑matter expert and strategic problem‑solver, the Quality…
Added 1 hour ago
C
Machine Learning Engineer
Coframe
Burlingame, CA
- $180,000 to $300,000 USD / year
As a Machine Learning Engineer, you’ll build the models that power performance optimization at Coframe. You’ll train both foundation models and customer-specific models that predict and…
Added 1 hour ago
Senior Software Engineer - Internal AI Agent Infrastructure
Qualtrics
Seattle, WA
…exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform - we are the creators and stewards of the Experience…

Senior Machine Learning Engineer, AI Safety Evaluations

CA, United States

The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

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Job details

Pay: The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
Experience: Education and Experience: Bachelor’s degree or equivalent experience, with 6+ years in the field of machine learning engineering or evaluation.
Posting language: English
Posted: Nov 5, 2026

Original job description

NVIDIA has helped redefine what computers can do. Now, generative AI is opening new possibilities for how people learn, create, and tackle problems. Realizing that potential means answering some of the hardest questions in AI: Where do models fall short? Which risks are we missing? How do we know our safeguards are working? As an expert in machine learning for Evaluations, you’ll help establish the evidence that guides the next generation of safer AI. Your curiosity and scientific judgment can shape what we test, what we learn, and what we build next.

We are looking for a Machine Learning Engineer / AI Researcher / Data Scientist to join our AI Safety and Responsibility efforts within Enterprise Risk Management. Engaging directly in engineering tasks, you will apply your data science and statistics skills. You will turn open research questions into rigorous benchmarks, inventive experiments, and tools that reveal how multimodal large language models behave under pressure. Working with researchers and platform engineers, you’ll connect those discoveries to better training methods and safeguards, with reproducible results that inform technical reviews and executive decisions. If you love asking the question no one has thought to test, and building a convincing way to answer it, come help us define what progress in AI safety looks like.

What You Will Be Doing:

Safety Benchmarking: Design and maintain safety benchmarks for large language and multimodal models, translating risk scenarios into test cases, datasets, and scoring rubrics.
Evaluation Methodology: Define metrics and protocols that assess safety alongside model usefulness, using baselines, uncertainty estimates, and failure analysis to distinguish meaningful improvements from noise.
Reproducible Evaluation: Build reusable Python pipelines with versioned datasets, model configurations, and experiment tracking to reproduce results and compare performance across model releases.
Automated Red-Teaming: Develop tools to discover failure modes and expand evaluation coverage, incorporating human review to validate automated scoring and provide additional judgment.
Failure Analysis: Investigate model failures with researchers, document actionable findings, and develop regression tests to assess whether model changes resolve identified issues.
Results and Communication: Partner with platform engineers to store and aggregate evaluation results, and clearly communicate findings, limitations, and emerging risks to researchers and decision-makers.

What We Need To See:

Education and Experience: Bachelor’s degree or equivalent experience, with 6+ years in the field of machine learning engineering or evaluation.
Evaluation Design: Experience developing benchmarks, metrics, and statistically sound comparisons for ML systems, including selecting baselines and interpreting uncertainty. Ability to translate ambiguous evaluation questions into testable experiments.
Engineering: Strong Python skills and experience building maintainable shared tools, data pipelines, and experiment-tracking workflows.
Analytical Rigor: Ability to assess dataset quality, identify limitations in metrics and scoring methods, and support conclusions with reproducible evidence.
Communication: Clearly explain findings and tradeoffs to researchers, engineering partners, and executives.

Ways to Stand Out from the Crowd:

Evaluation: Experience evaluating LLMs, multimodal models, or agentic systems through adversarial testing or automated red-teaming.
Community Contributions: Contributions to public benchmarks or evaluation frameworks.
Research Publications: A publication track record and interest in continuing to publish at top tier venues.
Human-Aligned Evaluation: Experience validating model-based evaluators against human judgments or designing human-in-the-loop evaluation workflows.
Statistical Rigor: Strong model evaluation skills and a commitment to sound statistical practices, including confidence intervals.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 9, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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