Jobs and Careers
KB

Machine Learning Senior Research Engineer

KBR, Inc.
USA, Moffett Field, NASA Ames Research Center,350 North Akron Bldg N204, Building N204, California, United States, United Statesfull_timeVerifiedPosted 12 Feb 2025
💰 $219,200/yr($146,100/yr$219,200/yr)

About the role

Title:

Machine Learning Senior Research Engineer

BELONG. CONNECT. GROW. with KBR.

Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely.

This position focuses on leveraging machine learning (ML) and deep learning (DL) techniques to address complex challenges in various domains, with a primary emphasis on astronomy and space science. Applications include the detection, validation, and characterization of exoplanets using data from missions like Kepler, TESS, and JWST, as well as extending ML methodologies to other scientific and technical problems. This role is pivotal in advancing the use of ML/DL technologies in astronomy and other domains, driving innovation and discovery through data-driven methodologies.

Job Description:

  • Create software tools and pipelines to integrate ML/DL solutions into scientific workflows, ensuring high accuracy, interpretability, and scalability for diverse datasets.
  • Build simulations, synthetic datasets, and test cases to validate and benchmark ML/DL models under various conditions, including noise and data sparsity, ensuring their robustness and reliability.
  • Apply ML techniques to interdisciplinary problems, such as fault management, anomaly detection, and signal processing, to support broader space science and engineering missions.
  • Collaborate with experts across disciplines, including astrophysics, engineering, and data science, to align ML solutions with scientific and technical objectives.
  • Contribute to the preparation of mission-critical reviews and evaluations by developing tools for data analysis, validation catalogs, and statistical assessments tailored to specific mission needs.
  • Stay current with advancements in ML/DL and explore their application to emerging challenges in space science and beyond.
  • Write and contribute to scientific publications, effectively communicating findings, methodologies, and innovations to advance mission objectives and secure funding.

REQUIRED Skills and Traits:

  • MS in Engineering, or related field, with 6 years of experience.
  • Technical Expertise: Strong background in machine learning (ML) and deep learning (DL), with hands-on experience applying these techniques to real-world problems, particularly in astronomy and space science. Proficiency in data analysis, model development, validation, and optimization.
  • Domain Knowledge: Familiarity with astronomical datasets, including those from missions like Kepler, TESS, and JWST. Understanding of exoplanet detection techniques, transit photometry, and related scientific methodologies.
  • Analytical Thinking: Ability to assess complex problems, identify critical risks, and develop innovative solutions for mission-critical applications. Skilled in creating simulations, "what-if" scenarios, and diagnostic models to support mission operations.
  • Communication Skills: Proficiency in translating complex technical concepts into clear, concise documentation and presentations for diverse audiences, including stakeholders, operators, and reviewers.
  • Problem-Solving: Experience in risk management, anomaly response planning, and contingency procedure development. Ability to design and implement fault-tolerant systems and troubleshoot issues effectively.
  • Adaptability and Initiative: Proven ability to manage multiple priorities, adapt to evolving project needs, and take initiative in driving projects to successful completion.

Basic Compensation:

$146,100.00 - $219,200.00

This range is for the California area only

 

The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity.

 

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.

KBR BENEFITS

KBR offers a wide range of benefits for their employees; we offer medical, prescription, dental, vision, AD&D, disability benefits, retirement 401k, travel benefits, PTO, holidays, flexible work schedules, parental leave, military leave, education assistance, and the list goes on and on! We also support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about o

Apply for this role

Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.

Apply Now →Generate Application Kit

Free account required — sign up in 30s

Company

KBR, Inc.

View company profile →