19 openings · 5 companies · Updated November 12, 2026
Machine learning, deep learning, LLM and AI engineering roles.
19 jobs
As a member of the International Policy Applied AI team at Anthropic, you will be a trusted technical advisor to governments, AI Safety Institutes (AISIs), and multilateral institutions.…
Applied AI · Product · Sales · Support
Define and Execute the AI Product Strategy: Drive the roadmap and execution for Auth0’s AI portfolio, with a specific focus on Auth0 for AI Agents. Identify tactical integration…
Product Management · Security · Product
We are seeking a counsel to help lead legal responses to cybersecurity and AI safety incidents. This is an opportunity to bring deep incident response expertise to some of the hardest…
Security · Product · Legal
Will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI…
Go · LLM · Product · Sales · Customer Success
As a member of our AI Product Counsel team, you will help shape how frontier AI moves from research into products used around the world. Working cross-functionally across OpenAI, you…
Go · Product · Tax · Legal
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the…
Applied AI · LLM · Product · Sales · Customer Success
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech…
Applied AI · LLM · Product · Sales · Customer Success
Anthropic believes AI capabilities are improving rapidly, and that AI safety policy needs to keep pace. Our Policy Development team translates technical insights into workable new policy…
Public Policy · Security · Support · Legal
Customer & Stakeholder Engagement : Collaborate with AI platform developers, security architects, and internal stakeholders to distill feature asks, gather feedback, and ensure…
Product Management · Security · Product · Audit
The Music Mission team owns Spotify's end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable…
Music
As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical…
Applied AI · LLM · Security · Product · Sales
As an Applied AI Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of…
Applied AI · Machine Learning · LLM · Data Science · Security
We are looking for a driven solutions leader with a product mindset to partner with our public sector customers and ensure they achieve tangible value with GenAI. You will pair with…
OpenAI for Gov · Product · Sales · Support · Operations
We are looking for a hands-on Applied AI Engineer with deep cybersecurity experience and a product mindset to help government and national security customers apply frontier AI to…
OpenAI for Gov · Security · Product · Sales · Operations
As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will shape each…
OpenAI for Gov · Security · Product · Sales
We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI…
User Operations · Go · Security · Automation · Product
PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access…
AWS · Azure · GCP · Spark · Databricks
Join Anthropic's Customer Success team as an AI Outcome Manager in a high-impact role driving AI adoption across our Financial Services segment. As an AI Outcome Manager for FSI, you'll…
Go · Product · Sales · Customer Success
Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an AI Outcomes Manager, GSI, you'll be the strategic partner and a…
Go · Product · Sales · Customer Success
There are 19 open Data Scientist / ML Engineer jobs in Washington, DC right now, posted by 5 employers, including Anthropic, OpenAI, Okta and Spotify. 1 of them were posted in the last seven days, and the newest on November 5, 2026.
Most openings ask for 3–5 years of experience; 42% are remote and 0% hybrid; where employers publish pay, ranges run from $145K to $366K a year (median starting pay $211K); the skills asked for most are Product, Sales, Security, Applied AI and Go.
Every listing comes from the employer's own careers page and is refreshed twice a day (last update November 12, 2026). Apply opens the employer's own application page; there is no sign-up and no fee.
19 Data Scientist / ML Engineer jobs are open in Washington, DC as of November 12, 2026, from 5 employers. The list is refreshed twice a day from the employers' own career pages, and closed openings are removed.
Anthropic (9), OpenAI (6), Okta (2), Spotify (1) and Databricks (1). Use the Company filter to see one employer's openings.
Among openings that publish pay (many US states require a pay range in the posting), yearly pay runs from $145K to $366K, with a median starting figure of $211K. Hourly rates are counted at 2,080 hours a year. These are the employers' published ranges, not guaranteed pay.
Not at the moment: the current openings ask for three years or more, or do not say.
8 openings are fully remote and 0 hybrid, as stated by the employer. Remote roles are open to people in the US unless the posting names specific states. Pick Remote or Hybrid under Work mode.
Most US employers ask that you are authorized to work in the United States; postings often say whether visa sponsorship is offered. Each job page shows who may apply when the posting says so; check the full posting before you apply.
Open a job and press Apply: it takes you to the employer's own careers page, where you apply directly. askjobs does not collect resumes, act as a recruiter or charge anything.
