Machine Learning Senior Research Engineer

USA, Moffett Field, NASA Ames Research Center,350 North Akron Bldg N204, Building N204, California, United States

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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 our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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Tags: Data analysis Deep Learning Engineering Machine Learning ML models Pipelines Research Statistics

Perks/benefits: Career development Flex vacation Health care Medical leave Parental leave Relocation support Signing bonus

Region: North America
Country: United States

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