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Bayesian Optimization Jobs in Virginia (NOW HIRING)

AI/ML Engineer

Herndon, VA · On-site

$137K - $182K/yr

Experience with probabilistic modeling, uncertainty estimation, and Bayesian optimization algorithms * Experience building training & evaluation pipelines for ML systems Preferred Qualifications

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

Job Summary Are you a statistician who wants to see your Bayesian models protect national security ... High-performance computing or numerical optimization * Version control (Git) and collaborative ...

Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, machine learning, computational * methods, design and analysis of algorithms, Bayesian ...

Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ... Complex query optimization, dbt or similar, working fluently with Spark or Databricks. * Cloud ...

New

Qualifying coursework may include but is not limited to statistics, mathematical programming, optimization, Client hine learning, computational methods, design and analysis of algorithms, Bayesian ...

Senior Data Scientist

Herndon, VA · On-site

$134K - $196K/yr

Expert proficiency in advanced ML and AI: deep learning (TensorFlow, PyTorch, Keras), ensemble methods (XGBoost, Random Forest), Bayesian methods, and multi-objective optimization algorithms.

Experience with data analysis, statistics and modelling, Bayesian statistics, optimization, graph theory, options and derivatives pricing. * Experience with CECL Loss Allowance, Basel Capital Rules ...

New

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Develop and implement methods of automation and optimization of data and productsto present to ... Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate ...

Data Engineer

Chantilly, VA · On-site

$100K - $124K/yr

Develop and implement methods of automation and optimization of data and products to present to ... Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate ...

Develop and implement methods of automation and optimization of data and products to present to ... Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate ...

Data Scientist III

Charlottesville, VA · On-site

$98K - $171K/yr

... estimation theory, optimization, and linear algebra. * Programming experience in one or more ... Familiarity with Kalman filtering, nonlinear filtering, Bayesian estimation, probabilistic data ...

... estimation theory, optimization, and linear algebra. * Programming experience in one or more ... Familiarity with Kalman filtering, nonlinear filtering, Bayesian estimation, probabilistic data ...

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Showing results 1-20

Bayesian Optimization information

What is the difference between Bayesian Optimization vs Data Scientist?

AspectBayesian OptimizationData Scientist
Primary FocusOptimizing complex functions and hyperparametersAnalyzing data, building models, deriving insights
Required SkillsStatistics, probability, machine learning, programmingStatistics, programming, data analysis, visualization
Work EnvironmentResearch labs, AI/ML teams, R&D departmentsBusiness, tech companies, consulting firms
Common ToolsPython, R, Bayesian libraries (e.g., GPy, scikit-optimize)Python, R, SQL, visualization tools

Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.

What job categories do people searching Bayesian Optimization jobs in Virginia look for? The top searched job categories for Bayesian Optimization jobs in Virginia are:
What cities in Virginia are hiring for Bayesian Optimization jobs? Cities in Virginia with the most Bayesian Optimization job openings:
AI/ML Engineer

$137K - $182K/yr

Full-time

Retirement

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Citizen.
Please review the job details below.
We are seeking an AI/ML Engineer to develop and maintain autonomous planning, scheduling, and optimization systems for advanced Earth Observation satellite operations.
This role focuses on applying reinforcement learning (RL), operations research, and sequential decision-making techniques to optimize heterogenous satellite constellation collection plans.
You will be joining an onsite team located in the Herndon, VA office with core in-office days on Tuesday, Wednesday, and Thursdays. Other days may occasionally be required to support customer or mission-related activities.
What You'll Do
  • Design and implement scalable reinforcement learning (RL), optimization, and decision-making algorithms for satellite sensor and constellation tasking and planning

  • Build high-fidelity simulation and evaluation environments for training and validating autonomous planning strategies under real-world operational constraints

  • Develop multi-objective optimization pipelines balancing coverage, revisit rate, latency, resource utilization, revenue, and mission success metrics

  • Train, evaluate, and deploy ML and decision-making models in production environments using modern DevOps practices

  • Collaborate with aerospace engineers, mission operators, software engineers, and product teams to translate mission requirements into deployable AI systems

What Success Looks Like (12-18 Months)
  • Your modernized scheduling and decision-support system is actively used by planners in daily operations

  • Teams can evaluate alternative planning strategies with measurable outcomes based on your models

  • Early-stage learning systems (optimization / RL) are improving planning performance over time

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Science, Aerospace Engineering, Applied Mathematics, Physics, or related field

  • 5+ years of experience developing machine learning or optimization systems

  • Strong programming skills with experience using modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or JAX

  • Experience with probabilistic modeling, uncertainty estimation, and Bayesian optimization algorithms

  • Experience building training & evaluation pipelines for ML systems

Preferred Qualifications
  • Experience with orbital mechanics, satellite systems, remote sensing, mission operations, and collection planning

  • Strong software engineering fundamentals including testing, CI/CD, version-control, and containerized deployment

  • Familiarity with GPU acceleration and distributed training infrastructure

  • Experience with autonomous systems or multi-agent planning architectures is a plus

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.
• The base pay for this position within the Washington, DC metropolitan area is: $137,000.00 - $182,000.00 - $200,200.00 annually.
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Maxar Technologies logo

About Maxar Technologies

Sourced by ZipRecruiter

Maxar Technologies, headquartered in Denver, CO, US, is a space technology company established in 1969. Operating in the Aerospace Industry, Maxar's key areas of business include Earth Intelligence and Space Infrastructure. The products they offer are critical for global communications, environmental monitoring, national security, intelligence operations, disaster response, and more. Passionate about unlocking the potential of space, Maxar's mission is "to build a better world by harnessing space technology". The company prides itself on advancing state-of-the-art technology, delivering exceptional customer service, and driving growth.

Industry

Space research administration

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1969