ZipRecruiter

Log In

1

Explainable Ai Xai Jobs (NOW HIRING)

ManTech

Data Scientist

Washington, DC · On-site +1

$141K - $236K/yr

Focus on Explainable AI (XAI) to ensure model transparency, interpretability, and responsible use. * Utilize Python AI ecosystems and LLM frameworks (PyTorch, Scikit-learn) for model development and ...

ManTech International

Data Scientist

Washington, DC · On-site

$141K - $236K/yr

Focus on Explainable AI (XAI) to ensure model transparency, interpretability, and responsible use. * Utilize Python AI ecosystems and LLM frameworks (PyTorch, Scikit-learn) for model development and ...

next page

Showing results 1-20

All JobsExplainable Ai Xai Jobs

Explainable Ai Xai information

See salary details

$46.5K

$94.5K

$142K

How much do explainable ai xai jobs pay per year?

As of Jun 29, 2026, the average yearly pay for explainable ai xai in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Explainable AI (XAI) roles?

Professionals in Explainable AI often encounter the challenge of balancing model accuracy with interpretability, as more complex models can be harder to explain. Another common difficulty is effectively communicating technical findings to non-technical stakeholders, ensuring that explanations are both accurate and accessible. Additionally, XAI specialists must stay updated with rapidly evolving regulations and best practices, as transparency requirements continue to grow in industries like finance and healthcare. Collaboration with data scientists, product managers, and compliance teams is also a regular part of the role, requiring strong interdisciplinary communication skills.

What is Explainable AI (XAI)?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the decisions and outputs of AI systems understandable and interpretable to humans. Unlike traditional 'black box' AI models, XAI aims to provide clear explanations about how and why a particular decision was made by the system. This transparency is crucial in fields like healthcare, finance, and legal, where understanding the reasoning behind AI decisions is essential for trust, accountability, and compliance. XAI can use various approaches, such as visualizations, simplified models, or feature importance scores, to explain predictions in a user-friendly way.

What are the key skills and qualifications needed to thrive as an Explainable AI (XAI) Specialist, and why are they important?

To thrive as an Explainable AI (XAI) Specialist, you need a strong background in machine learning, statistics, and computer science, typically supported by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, and specialized XAI libraries like LIME or SHAP, as well as knowledge of regulatory standards, is essential. Strong communication skills, critical thinking, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These abilities ensure that AI systems are transparent, trustworthy, and ethically aligned with business and regulatory requirements.

What is the difference between Explainable Ai Xai vs Data Scientist?

AspectExplainable Ai XaiData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications in AI or data science are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentOften in AI development teams, focusing on model transparency and interpretabilityIn research, analytics, or product teams, focusing on data modeling, analysis, and insights
Industry UsageUsed across tech, finance, healthcare for AI transparency and complianceUsed across industries for data analysis, predictive modeling, and decision support

Explainable Ai Xai focuses on making AI models transparent and understandable, often working closely with AI development teams. Data Scientists analyze data, build models, and generate insights. While both roles involve data and machine learning, Xai emphasizes model interpretability, whereas Data Scientists focus on data analysis and predictive modeling.

Infographic showing various Explainable Ai Xai job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 7% Part Time, and 13% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

Senior Research Scientist- Robotics AI

Bosch Group

Sunnyvale, CA • On-site

$115K - $146K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago

Job description

Company Description
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.
Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL.
Job Description
As a Senior Research Scientist- Robotics AI, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include:
  • Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc.
  • Push the boundaries in AI based Robotics, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability.
  • Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration.
  • Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
  • Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events.
  • Document and disseminate research findings through high-caliber publications and/or patent submissions.

Qualifications
Basic Qualifications
  • Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2/4 years industry experience after graduation.
  • A minimum of 5 years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
  • Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust).
  • Strong interpersonal, communication, and teamwork capabilities.
  • Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
  • Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG).
  • A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences.

Preferred Qualifications
  • Experience with real-world product development and deployment of autonomous systems.
  • Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models.
  • Hands-on experience in computer vision and deep learning, with work in any of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation.

Additional Information
We offer a competitive base salary for this position with a range in US-California of --$185,000 - $215,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.
Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.
Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.
Equal Opportunity Employer, including disability / veterans.
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
#LI-JM1

Apply