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Openai Jobs in Washington (NOW HIRING)

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality ...

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality ...

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality ...

Java Developer with AI

Laurel, MD · On-site

$58.75 - $74.75/hr

Must Have:8+ years in Java, Spring Boot, Microservices Experience integrating AI/LLMs - OpenAI, Spring AI, LangChain, RAG Knowledge of Vector DB - Pinecone / OpenSearch AWS - EC2, S3, Lambda, Bedrock ...

New

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality ...

Principal AI Architect

Rockville, MD · On-site

$108 - $180/hr

Principal AI Architect About the Role As an AI Architect , you will make an impact by designing and delivering enterprise-scale agentic AI solutions powered by foundation models such as OpenAI ...

Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality ...

AI Engineer

Washington, DC · On-site

$77K - $176K/yr

Experience with embeddings via OpenAI, Cohere, or SentenceTransformers * Experience with monitoring and logging tools such as CloudWatch or Datadog * Experience deploying services using Docker ...

OpenAI (GPT-4), Claude, Gemini, Llama 3 * LangChain, LlamaIndex, or similar RAG frameworks * AWS Bedrock, GCP Vertex AI, Azure OpenAI Service * Vector databases (e.g., FAISS, Pinecone, Weaviate ...

Showing results 41-60

Openai information

See Washington salary details

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$32

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How much do openai jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for openai in Washington is $32.78, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $48.46 per hour, depending on experience, location, and employer.

What is an OpenAI job?

An OpenAI job refers to a role within OpenAI, a leading artificial intelligence research lab focused on developing and promoting AI technologies. Jobs at OpenAI span various fields, including research, engineering, policy, and product development. Employees work on cutting-edge AI advancements, such as large language models and reinforcement learning, to ensure AI benefits humanity.

What are the key skills and qualifications needed to thrive in the OpenAI position?

To thrive at OpenAI, professionals typically need a strong background in computer science, machine learning, and data analysis, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and cloud computing platforms is highly valued, along with research experience or relevant technical certifications. Strong problem-solving abilities, creativity, and effective teamwork and communication skills help individuals excel at OpenAI. These skills are critical to successfully developing and deploying innovative AI solutions in fast-paced, collaborative environments.

What types of projects and collaborative opportunities can I expect when working at OpenAI?

At OpenAI, you’ll have the chance to work on cutting-edge AI research and development projects ranging from natural language processing models to reinforcement learning systems. Many projects are highly interdisciplinary, allowing you to collaborate with teams of experts in computer science, engineering, ethics, and policy. Teamwork and collaboration are central to the work culture, offering regular opportunities for knowledge sharing, brainstorming, and peer review. This collaborative environment not only accelerates learning and innovation but also fosters professional growth and exposure to diverse AI challenges.

Does OpenAI hire remote workers?

OpenAI offers remote work opportunities for certain roles, especially in engineering, research, and support functions. Candidates should have strong communication skills and relevant technical expertise, and remote positions may require regular virtual collaboration and adherence to company policies. Availability of remote work depends on the specific role and team needs.

How can I get a job in OpenAI?

To get a job at OpenAI, candidates should review current openings on the company's careers page, ensure they meet the required skills such as expertise in machine learning, AI, or software engineering, and submit a tailored application highlighting relevant experience. Strong technical skills, a background in AI research or development, and familiarity with tools like Python and deep learning frameworks are often preferred. Networking and staying updated on OpenAI's projects can also improve chances of success.

What are the most commonly searched types of Openai jobs in Washington?

The most popular types of Openai jobs in Washington are:

What are popular job titles related to Openai jobs in Washington?

For Openai jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Openai jobs?

Cities in Washington with the most Openai job openings:

Infographic showing various Openai job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 1% Part Time, 2% Temporary, and 9% Contract. Highlights an 71% Physical, 7% Hybrid, and 22% Remote job distribution, with an average salary of $68,189 per year, or $32.8 per hour.

Testing not a real job

SiloSmashers

Alexandria, VA • On-site

Full-time

Re-posted 10 days ago


Job description

About the RoleWe're looking for a Senior ML Engineer to join a product team and help build, train, and ship machine learning models that power real user-facing features. This is a hands-on role for someone who enjoys owning the full lifecycle of a model - from experimentation through production deployment and monitoring - and who is comfortable working closely with product and engineering partners in a hybrid office environment.What You'll DoDesign, build, and train machine learning models to solve product problems, iterating from prototype to production.Own the MLOps lifecycle: experiment tracking, reproducible training pipelines, model versioning, deployment, and monitoring.Partner directly with product managers and engineers embedded in your team to translate business requirements into ML solutions.Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale.Monitor model performance in production, diagnose drift and degradation, and drive retraining and improvement cycles.Write clean, well-tested, production-grade Python code and contribute to shared ML tooling and best practices.Collaborate cross-functionally to define success metrics, run experiments (A/B tests), and communicate results to technical and non-technical stakeholders.What We're Looking For6–10 years of professional experience in software/ML engineering, with a strong track record of building and training ML models.Deep hands-on expertise in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).Practical MLOps experience - tools such as MLflow, Kubeflow, or Airflow for pipelines, tracking, and deployment.Required: Certified Azure experience (e.g., Microsoft Certified: Azure AI Engineer Associate / AI-102), plus hands-on production experience with Azure ML, Azure Databricks, or AKS.Solid understanding of the full ML lifecycle: data preparation, training, evaluation, deployment, and monitoring.Strong communication skills and comfort working embedded within a cross-functional product team.Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.Nice to HaveExperience with large language models (LLMs) or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI Service).
Job Posted by ApplicantPro