Sr. Data Scientist & Machine Learning Engineer (P3) - Remote

Date Posted:

2023-03-08

Country:

United States of America

Location:

PW208: Connecticut Remote Remote Location , Remote City, CT, 06035 USA

Position Role Type:

Remote

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Pratt & Whitney is seeking a Senior Data Scientist & Machine Learning Engineer to help drive our digital transformation, by joining our newly created Engineering Core Artificial Intelligence/Machine Learning (AI/ML) Team.  The team is tasked with accelerating end-to-end AI/ML solutions across our value stream (from Engineering Design Optimization, Manufacturing and Aftermarket Defect Detection to Predictive Analytics), support multiple engine programs accelerate their adoption of AI/ML solutions through architecture, implementation, deployment, and integration, and work with others across the enterprise to build foundational solutions and standards for current and future AI/ML work. Immediate tasks include training models and building pipelines for one of:

• Regression modeling and pipelines for Finite Element Analysis (FEA) /Computational Fluid Dynamics (CFD) surrogate modeling for design optimization and production quality control.
• Computer vision defect detection on production and aftermarket data. 

Key Responsibilities:

• Architect and implement a state of the art AI/ML ecosystem.
• Integrate end-to-end AI/ML solutions into existing and future domain specific systems.
• Implement Machine Learning Operations (MLOps) pipelines and systems.
• Evaluate commercial tool offerings .
• Train, test, and deploy ML models .
• Collaborate with experts to work with data and use cases across multiple domains.
• Define and document AI/ML modeling practices and MLOps standards.
• Engage and participate in the Pratt & Whitney AI/ML Community.
• Coach AI/ML teams and individuals.

Basic Qualifications:

• University Degree and 5+ years prior relevant work experience with a focus on AI/ML models and pipelines , OR an Advanced Degree in a related field and 3+ years prior relevant work experience with a focus on AI/ML models and pipelines.
• US Citizenship required due to government programs.
• Travel up to 7%.

Preferred Qualifications:

• PhD graduate with directly applicable research.
• Prior knowledge of the aerospace industry (design, analysis, manufacture, and/or aftermarket support).
• AI/ML modeling experience (feature engineering, regression, classification, clustering, NLP, computer vision, etc.) .
• AI/ML lifecycle experience (problem definition, data gathering, training, testing, deployment, MLOps pipelines).
• Prior experience with MLOps pipelines.
• Experience deploying and managing ML on edge devices.
• Engineering experience with multi-disciplinary analysis and optimization (MDAO) experience with FEA or CFD and optimization.
• Understanding of the scientific python ecosystem (scipy, numpy, pandas, scikit-learn).
• Advanced modeling capability with ML libraries like Tensorflow or PyTorch.
• Experience with ML Software like AWS Sagemaker, Databricks or Dataiku.
• Cloud Experience with Amazon Web Services or Microsoft Azure.
• Disciplined software engineering experience (e.g.,  automated testing, code reviews, CI/CD).
• Experience working in an agile framework.
• Possess a flexible attitude and willing to work with a range of technologies and languages.
• Ability to align multiple customers to a set of requirements and drive tasks to completion.

Role Type: What is my role type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

• Remote: Employees who are working in Remote roles will work primarily offsite (from home).

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee’s personal responsibility.

The salary range for this role is 75,000 USD - 161,000 USD; however, Raytheon Technologies considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills.

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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