Jobs in the United States

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Added 1 min ago
TT
Full Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $230,000 to $300,000 USD / year
- Develop across the stack, with an emphasis on APIs, data models, backend systems, and polished product interfaces.
Added 1 min ago
TT
Product Engineer
True Talent Solutions Partners
San Francisco Bay Area, CA
- $185,000 to $485,000 USD / year
On-site five days per week in the San Francisco Bay Area
Added 31 mins ago
TT
Robotics Software Engineer
True Talent Solutions Partners
Watertown, MA
- $130,000 to $180,000 USD / year
- Build and maintain data-labeling frontends, perception systems, and compilers for robot intelligence.
Added 39 mins ago
Mid-level Data Engineer
Amentum
Springfield, VA
As a Mid-Level Data Engineer, you will support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts,…
Added 40 mins ago
Software Development Engineer - Developer Platform
Workday, Inc.
CO
As a Software Engineer on the Developer Platform team, you will build and improve the front-end surfaces and developer tooling that make up the Workday Developer Portal. You will execute…
Added 40 mins ago
Digital Engineer
MANTECH
Remote, United States
8+ years as a system engineer, data engineer or software developer or other related areas such as experience in software engineering, full-stack application development, or AI/ML systems…
Added 44 mins ago
Junior AI/ML Engineer
Node.Digital
Remote, United States
Support data preprocessing and feature engineering pipelines under senior engineer direction: clean, normalize, and validate fraud-related datasets; handle class imbalance preparation…
Added 44 mins ago
Intelligent Automation/AI-ML Engineer
Node.Digital
Remote, United States
The engineer also explores new ways to embed artificial intelligence and machine learning into automations to support continuous improvement, learning and augmented decision making, and…
Added 44 mins ago
Intelligent Automation/AI-ML Engineer (Full Stack Engineer)
Node.Digital
Remote, United States
The engineer will also explore new ways to embed artificial intelligence and machine learning into applications, supporting continuous improvement, learning, and augmented decision making.…
Added 44 mins ago
Senior Data Engineer
Node.Digital
Remote, United States
Must have an Public Trust Clearance
Added 45 mins ago
Lead Analytics Engineer
The Knot Worldwide
Remote, United States
The Principal Analytics Engineer will architect the data and analytics infrastructure that lets our data science and analytics teams build on shared, trusted foundations across Growth &…
Added 47 mins ago
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Senior Vice President of Technology - Data Analytics and Population Health Consulting
Alera Group
UNAVAILABLE
- $225,000 to $250,000 USD / year
The Senior Vice President of Technology - Data Analytics and Population Health Consulting is a key member of the Vital Incite Leadership Team responsible for establishing and executing the…
Added 57 mins ago
Staff Software Engineer
DQQ Cohesity Inc.
Santa Clara, CA
Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data -…
Added 1 hour ago
Senior Manager, Forward Deployed AI Engineer
Clearsulting
Chicago, IL · Cleveland, OH · Columbus, OH · Dallas, TX
…retrieval pipelines that ground AI outputs in trusted financial data and source…
Added 1 hour ago
Senior Software Engineer (Platform Engineer), G&A Solutions Engineering (GSE)
Apple
Sunnyvale, CA
You will be working on a Platform that helps define features. Data models, rules, workflows, permissions, screens and reports are all versioned configuration, interpreted at runtime, so the…
Added 1 hour ago
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Software Engineer (Business Applications)
Pacific Northwest National Laboratory
UNAVAILABLE
- $133,100 USD / year
…professionals can tackle some of the world's toughest challenges in science, energy, and national…
Added 1 hour ago
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🎉 Backend Engineer, Engagement
Clubhouse
Remote, United States
- $195,000 to $220,000 USD / year
…Android engineers, working directly with product, design, and data science. Your work goes out to millions of people, and you’ll see in the data how it changed the way they connect. Small…
Added 1 hour ago
Sr Sales Engineer - DFW
Hewlett Packard Enterprise
All, TX
Must reside in Dallas-Fort Worth area
Added 1 hour ago
Solutions Engineer
NobleAI
Remote, United States
NobleAI’s VIP Platform is a Science-Based AI platform that predicts complex systems, helping companies accelerate discovery, improve product and asset performance, and drive measurable…
Added 1 hour ago
Data Engineer – Mobile Monetization – Big Data, GenAI & Mobile AdTech
PubMatic
Redwood City, CA
PubMatic is seeking for a passionate Data Engineer to join our Mobile Advertising Platform engineering team. In this role, you will build highly scalable data platforms powering Mobile…
Added 1 hour ago
S
Deployment Engineer
Sieve
San Francisco, CA
- $150,000 to $225,000 USD / year
As a Deployment Engineer at Sieve, you'll travel globally to launch and scale our hardware and data collection operations. You'll own the technical work of getting each site running, from…
Added 2 hours ago
Engineer III - Technology
Edward Jones
Saint Louis, MO
Louis, MO home office locations are expected to work in the office four days per week."
Added 2 hours ago
Director, AI Security
Johnson & Johnson Services Inc. Legal Entity
Remote, United States
…addressing AI-related risks such as prompt injection, sensitive data exposure, excessive agent privileges, tool misuse, model and data poisoning, and compromised AI supply chains. This…
Added 2 hours ago
MT
Sr Metrology Process Engineer, Technology Development
Micron Technology
Albany
- $104,000 to $224,000 USD / year
As a Metrology Engineer you will be collaborating with process and integration guides to qualify Low and High NA EUV lithography processes and other technology development projects that…
Added 2 hours ago
Software Engineer Embedded Systems I (Intern) - United States
Cisco
San Jose, CA · Austin, TX · RTP, NC
You are a passionate engineer skilled in low-level programming, networking protocols, and hardware-software integration, with strong communication and collaboration abilities. You thrive in…

Anthropic

Research Engineer / Scientist, Pre-training

Remote, United States

$500,000 - $850,000 USD

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Pay: $500,000 - $850,000 USD
Posting language: English
Posted: Nov 1, 2026

Original job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Key Responsibilities

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyze scientific experiments to advance our understanding of large language models

• Optimize and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimizations to high-level model design

Qualifications

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

• Familiarity with large-scale machine learning, particularly in the context of language models

• Ability to balance research goals with practical engineering constraints

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

• Care about the societal impacts of your work

Preferred Experience

• Work on high-performance, large-scale ML systems

• Familiarity with GPUs, Kubernetes, and OS internals

• Experience with language modeling using transformer architectures

• Knowledge of reinforcement learning techniques

• Background in large-scale ETL processes

You'll thrive in this role if you

• Have significant software engineering experience

• Are results-oriented with a bias towards flexibility and impact

• Willingly take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects

• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research

• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights

• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects

• Optimizing the throughput of novel attention mechanisms

• Comparing compute efficiency of different Transformer variants

• Preparing large-scale datasets for efficient model consumption

• Scaling distributed training jobs to thousands of GPUs

• Designing fault tolerance strategies for our training infrastructure

• Creating interactive visualizations of model internals, such as attention patterns

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$500,000 - $850,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links - visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Apply on job-boards.greenhouse.io About employer

More about this job

Skills

Research
Artificial intelligence
Process data
Computer science
Machine learning
Python
Deep learning
PyTorch
Problem solving
Communication skills
ML
Kubernetes
Data engineering
Sales
Logistics

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Work requirements

Jobs in the United States