ZipRecruiter

Log In

1

Causal Inference Machine Learning Postdoctoral Jobs in Hawaii

Weeghman & Briggs LLC

Data Scientist Level 3

Wahiawa, HI · On-site

$162K - $180K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

Weeghman & Briggs LLC

Data Scientist Level 3

Wahiawa, HI · On-site

$162K - $180K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

Weeghman and Briggs

Data Scientist Level 3

Wahiawa, HI · On-site

$162K - $180K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced ... Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing ...

next page

Showing results 1-20

All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in Hawaii

Causal Inference Machine Learning Postdoctoral information

What is a Causal Inference Machine Learning Postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Hawaii? For Causal Inference Machine Learning Postdoctoral jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Hawaii look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Hawaii are:
What cities in Hawaii are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Hawaii with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Hawaii as of July 2026, with employment types broken down into 3% Locum Tenens, 81% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Autonomy Engineer, Senior

Autonomy Engineer, Senior

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description

Autonomy Engineer, Senior
The Opportunity:
As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned aircraft systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI's Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for the Department of Defense.
You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.
What You'll Do:
  • Design and train machine learning models for perception, object detection, tracking, and classification.
  • Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
  • Implement sensor fusion models combining EO/IR, LiDAR, GPS-denied navigation, and telemetry data.
  • Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.
  • Develop and integrate autonomy behaviors within platforms such as Hivemind.
  • Implement mission planning logic and adaptive decision-making algorithms.
  • Enable collaborative autonomy between multiple UAS platforms.
  • Build simulation-based training pipelines for autonomy validation.
  • Deploy containerized AI models to airborne and ground edge nodes.
  • Optimize inference latency and resource utilization.
  • Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.
  • Develop secure software pipelines aligned to DoD cybersecurity standards.
  • Integrate AI outputs into tactical networks and mission command systems.
  • Implement CI/CD pipelines for rapid model iteration and field updates.

Join us. The world can't wait.
You Have:
  • 3+ years of experience in software engineering, including AI/ML systems
  • Experience with Python and C++
  • Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNX
  • Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platforms
  • Experience with robotics middleware, such as ROS or ROS2
  • Experience with computer vision or autonomous navigation systems
  • Ability to obtain a Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience working in military exercises and war games
  • Ability to support flight testing and operational evaluations
  • Master's degree
  • ML, AI, or Solution Architecture Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

View All Booz Allen Hamilton Jobs

Apply