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Manager Spacex Machine Learning Jobs in Virginia

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Optimize context window usage Manage token budgets, chunking strategies, and retrieval mechanisms ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Optimize context window usage Manage token budgets, chunking strategies, and retrieval mechanisms ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Optimize context window usage Manage token budgets, chunking strategies, and retrieval mechanisms ... Strong understanding of machine learning theory and fundamentals * Model selection and evaluation

Machine Learning Engineer

Chantilly, VA · Remote

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking a skilled Machine Learning Engineer to design, develop, and ... Proficiency in Docker for building and managing containers * Strong knowledge of Python programming ...

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Showing results 41-60

Manager Spacex Machine Learning information

What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?

AspectManager Spacex Machine LearningData Scientist Spacex
CredentialsAdvanced degrees in CS, ML, or related fields; leadership experienceDegree in CS, Data Science, or related fields; strong analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, model development, experimentation
Industry UsageOversees ML teams, manages projects, aligns with business goalsBuilds models, analyzes data, provides insights

The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.

What are the most commonly searched types of Spacex Machine Learning jobs in Virginia? The most popular types of Spacex Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Manager Spacex Machine Learning jobs? Cities in Virginia with the most Manager Spacex Machine Learning job openings:

Machine Learning Engineer with Security Clearance

Stillwater Human Capital

Chantilly, VA • On-site

$179K - $236K/yr

Other

Posted 18 days ago


Job description

Machine Learning Engineer Location: Chantilly, VA Clearance: Active TS/SCI w/Polygraph The Opportunity Stillwater is searching for a Software Developer with expertise in artificial intelligence to join its dynamic team. This position centers on developing and implementing AI solutions to strengthen enterprise-level IT operations. The Machine Learning Engineer will collaborate closely with cross-functional teams to design, develop, and deploy AI-driven applications that enhance efficiency, automate processes, and deliver valuable insights. Responsibilities * Develop and maintain machine learning pipelines and applications using Python and contemporary machine learning frameworks. * Implement and optimize algorithms for integrating and deploying large language models (LLMs). * Build RESTful APIs and microservices to serve machine learning models in production environments. * Write clean, maintainable, and well-documented code, adhering to object-oriented programming principles. * Collaborate with cross-functional teams to understand requirements and convert them into technical solutions. * Manage training data, model artifacts, and application state using SQL, NoSQL, and vector databases. * Containerize machine learning applications with Docker to ensure consistent deployment across environments. * Use Git for version control and participate in code reviews to maintain code quality. * Conduct testing and debugging of machine learning applications to ensure reliability and accuracy. * Support the deployment and monitoring of AI and machine learning models in cloud environments. * Stay up to date with emerging trends in machine learning, LLMs, and AI engineering best practices. Qualifications Required * Active TS/SCI clearance with Poly. * Bachelor's degree in computer science, software engineering, data science, or a related technical field, plus five years of professional experience in software development or machine learning engineering. * Strong proficiency in Python programming, with a thorough understanding of object-oriented programming concepts, design patterns, data structures, and algorithms. * Experience with development tools and practices, including Git version control, Docker containerization, and database management (SQL and/or NoSQL). * Knowledge of large language model technologies, including familiarity with orchestration frameworks such as LangChain and LangGraph. * Understanding of retrieval-augmented generation (RAG) architectures and vector databases (including ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems. * Strong problem-solving skills, attention to detail, excellent communication abilities, and eagerness to learn within a collaborative team environment. Desired * Master's degree in computer science or a related field. * Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of MLOps practices for machine learning model deployment and monitoring. * Experience with container orchestration and DevOps, including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible. * Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk. * Contributions to open-source machine learning projects and familiarity with Agile development methodologies. Salary Range: $179,000 - $236,200 The above salary range represents a general guideline. Stillwater considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions. Depending on the position, employees may be eligible for overtime and/or discretionary bonuses in addition to base pay. Stillwater is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other protected class. If you need assistance with the application process due to a disability, please contact us at 571-525 2482