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Senior Reinforcement Learning Jobs in Virginia (NOW HIRING)

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

... Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of ... AI, reinforcement learning, computer vision, or related disciplines. • Experience publishing ...

Closure Technologies

AI/ML Engineer

Mclean, VA · On-site

... Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of ... AI, reinforcement learning, computer vision, or related disciplines. • Experience publishing ...

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Familiarity with reinforcement learning, program synthesis, or neurosymbolic reasoning.

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Familiarity with reinforcement learning, program synthesis, or neurosymbolic reasoning.

AnaVation

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

We are seeking a Senior AI Engineer with deep experience in vulnerability research, reverse ... Familiarity with reinforcement learning, program synthesis, or neurosymbolic reasoning.

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Senior Reinforcement Learning information

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

What are the key skills and qualifications needed to thrive as a senior reinforcement learning engineer, and why are they important?

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.
What are the most commonly searched types of Reinforcement Learning jobs in Virginia? The most popular types of Reinforcement Learning jobs in Virginia are:
What are popular job titles related to Senior Reinforcement Learning jobs in Virginia? For Senior Reinforcement Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Reinforcement Learning jobs in Virginia look for? The top searched job categories for Senior Reinforcement Learning jobs in Virginia are:
What cities in Virginia are hiring for Senior Reinforcement Learning jobs? Cities in Virginia with the most Senior Reinforcement Learning job openings:
Senior Reinforcement Learning jobs near you

Artificial Intelligence/ Machine Learning Developer

Unissant

Ashburn, VA • On-site

$127K - $197K/yr

Full-time

Re-posted 3 days ago

Job description

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com.We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.Essential Duties and Responsibilities:Drive a big data approach to execute government requirements to manage and enrich data to gather new insights. As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.This is a client-facing position working on-site as per the requirements established by the DHS customer.Develop, train, and deploy advanced AI/ML and Gen-AI models.Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models.Optimize model performance, ensuring accuracy, efficiency, and scalability.Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs.Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.Work Experience and Job Skills:3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically.Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional)Experience with machine learning and generative AI frameworks.Experience with natural language processing techniques (e.g., text classification, language generation).Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applicationsProficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts.An understanding and competency surrounding data storage, accesses, and loading.Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc.ETL/ELT ConceptsData warehouse conceptsSQLCompetency in data exploration, analytics, and feature engineering. (Python Specific)Pandas / NumPy / Polars / PySparkPlotly / Matplotlib (some form of data visualization)Data encoding / normalizing / regularizing / etc.Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems.Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch.Proficiency in NLP Tools SpaCy, ThinC, Gensim.Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok.General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning.Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.Adaptability to changing priorities and a willingness to learn and grow are essential.Excellent organizational skills, and ability to effectively manage concurrent projects.Comprehensive problem-solving skills with exceptional attention to detail.Ability to learn, evolve, think creatively and proactively.Able to work under pressure (at times) and to be extremely flexible with changing prioritiesAbility to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.Education:Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted.Certificates, Licenses and Registrations:This federal program requires the candidates to be a United States Citizen.Must have an active DHS clearance.Any related systems engineering, or related technical certifications are desired.AWS/Azure/GCP AI/ML certifications are preferred but not required.Communication Skills:Must have excellent written and verbal communication skillsAbility to convey technical information to non-technical individuals.Demonstrated experience communicating effectively across internal and external organizations.Must work well in a matrixed team environment. ​Travel:On-site in Ashburn, VAEnvironmental Requirements:Mainly sedentary; in an office environmentMay be required to lift up to ten (10) poundsFlexible in working extended hoursThe above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.Please note: Candidate(s) will be required to go through pre-employment screening.Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) 
Job Posted by ApplicantPro