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Probabilistic Programming Bayesian Jobs in Boston, MA

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Senior Software Engineer, Rust

Waltham, MA · On-site

$132K - $174K/yr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Senior Software Engineer, Rust

Waltham, MA · On-site

$132K - $174K/yr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Senior Software Engineer, Rust

Waltham, MA · On-site

$132K - $174K/yr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Senior Software Engineer, Rust

Waltham, MA · On-site

$132K - $174K/yr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Senior Software Engineer, Rust

Waltham, MA · On-site

$132K - $174K/yr

Design and implement robust filters, estimators, and probabilistic reasoning systems that enable ... programming patterns in Rust. * Experience in state estimation, including Bayesian filtering ...

Showing results 21-38

Probabilistic Programming Bayesian information

See Boston, MA salary details

$166.8K

$304.4K

$373.7K

How much do probabilistic programming bayesian jobs pay per year?

As of Sep 15, 2026, the average yearly pay for probabilistic programming bayesian in Boston, MA is $304,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $283,000.00 and $350,400.00 per year, depending on experience, location, and employer.

What is probabilistic programming in the context of Bayesian statistics?

Probabilistic programming in the context of Bayesian statistics refers to writing computer programs that use probability distributions and Bayesian inference to model uncertainty and learn from data. These programs allow users to define complex probabilistic models using code, making it easier to specify, fit, and analyze Bayesian models. Probabilistic programming languages, such as Stan, PyMC, or Edward, provide tools to automate inference, enabling practitioners to focus on modeling rather than mathematical derivations. This approach is widely used in fields like machine learning, data science, and scientific research to handle uncertainty and make predictions.

What are the key skills and qualifications needed to thrive as a probabilistic programming Bayesian specialist?

To thrive as a Probabilistic Programming Bayesian specialist, you need a strong background in statistics, probability theory, and Bayesian inference, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with probabilistic programming languages (such as Stan, PyMC, or TensorFlow Probability) and familiarity with statistical modeling software are also essential. Analytical thinking, problem-solving, and effective communication skills help translate complex models into actionable insights and collaborate with interdisciplinary teams. These skills and qualities are crucial for developing robust, interpretable models that inform decision-making in research and industry applications.

What are the typical challenges faced by professionals working in probabilistic programming with a Bayesian focus, and how can they be addressed?

Professionals working in Probabilistic Programming with a Bayesian focus often encounter challenges related to model complexity, computational efficiency, and communicating results to non-technical stakeholders. Building accurate Bayesian models requires careful selection of priors and an understanding of underlying data distributions, which can be demanding without robust domain expertise. Additionally, computational demands can be high, especially for large datasets or complex hierarchical models, making efficient sampling and approximation methods essential. Collaborating closely with domain experts and leveraging modern probabilistic programming frameworks can help address these challenges and ensure practical, interpretable results.

What is the difference between Probabilistic Programming Bayesian vs Data Scientist?

AspectProbabilistic Programming BayesianData Scientist
Required credentialsBackground in statistics, probability, programmingStatistics, computer science, or related degree
Work environmentResearch, modeling, algorithm developmentData analysis, visualization, business insights
Industry usageAI, machine learning, research projectsBusiness, finance, tech, healthcare

Probabilistic Programming Bayesian focuses on developing models using Bayesian methods and probabilistic programming languages, often in research or AI development. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require statistical knowledge, Bayesian programmers specialize in probabilistic modeling, whereas Data Scientists apply a broader set of data analysis techniques.

What are popular job titles related to Probabilistic Programming Bayesian jobs in Boston, MA?

For Probabilistic Programming Bayesian jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Probabilistic Programming Bayesian job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $304,352 per year, or $146.3 per hour.

Software Engineer, Rust

Waltham, MA • On-site

Other

Posted 27 days ago


Key responsibilities

  • Architect, maintain, and evolve complex software systems, refactoring existing codebases to improve performance, maintainability, and scalability.

  • Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.

  • Develop high-performance Rust software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision – "Any sufficiently advanced technology is indistinguishable from magic" – we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.

WHAT YOU WILL DO:
  • Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
  • Architect, maintain, and evolve complex software systems, refactoring existing codebases to improve performance, maintainability, and scalability.
  • Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.
  • Develop high-performance Rust software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.
  • Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
  • Apply software design patterns and architectural best practices to manage technical debt and guide the evolution of production systems over time.
  • Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
  • Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.
  • Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
  • Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.
REQUIRED QUALIFICATIONS
  • 5+ years of professional software engineering experience & a Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
  • Demonstrated experience managing and evolving software architecture in production environments, including refactoring legacy systems and managing technical debt.
  • At least 2+ years working on a single codebase or product, maintaining and expanding it as requirements evolved.
  • Strong understanding of software design patterns, architectural principles, and best practices for building maintainable, scalable systems (beyond basic syntax proficiency).
  • Proficiency in algorithm design, software development, and statistical modeling; experience with Rust, C/C++, Python, and Matlab is a plus.
  • Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
  • Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
  • Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.
  • Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
  • Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
  • Experience refactoring and modernizing Rust codebases in production environments.
  • Track record of architectural decision-making and technical leadership on long-lived projects.
  • Contributions to open-source Rust projects or the broader Rust ecosystem.
  • Experience with concurrent and parallel programming patterns in Rust.
  • Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
  • Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
  • Knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).

US Salary Range: $146,000—$194,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

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