Machine Learning Engineer Job

DATE: Jun 8, 2024

LOCATION: Remote, Remote, United States

Company: Armstrong World Industries

​Primary location: Remote, Remote 
Relocation offered: No 
Employment status: Full-Time 
Travel: <10% 
Non-compete: No 
Location: Work from home position located in Remote, Remote 

The estimated base salary range for this role is $110,000 to $140,000 per year.  
Individual pay is based upon location, skills and expertise, experience and other relevant factors (salary may be adjusted based on geographic location)

 

​What does it mean to work at Armstrong?

It means being immersed in a supportive culture that recognizes you as a key player in Armstrong's future. We are a large company with a local feel, where you will get to know and collaborate with leadership and your colleagues across the company.

 

By joining us, you'll have the opportunity to make the most of your potential. Alongside a competitive remuneration package, you will receive:

  • A benefits package including: medical, dental, prescription drug, life insurance, 401k match, long-term disability coverage, vacation and sick time, product discount programs and many more.
  • Personal development to grow your career with us based on your strengths and interests.
  • A working culture that balances individual achievement with teamwork and collaboration. We draw on each other's strengths and allow for different work styles to build engagement and satisfaction to deliver results. 

 

As a Machine Learning Engineer, you will leverage cutting-edge NLP and generative AI techniques to extract structured data from diverse document types. From there, you will build models that understand context, domain-specific jargon and generate documents. The output of your work will enable long-term strategic advantages for the company.

You’ll also help evaluate opportunities for ML within the company, proposing ideas, methods, and experiments to improve internal processes and service architects.

 

What’s in it for you!

  • Opportunity to work in a collaborative and supportive team setting
  • Growth and learning opportunites 

 

What You’ll Do

  • Applying transformers and other ML models for sales outcome prediction from document data.
  • Building ML pipelines for document processing
  • Using ML models to diagnose how document language impacts outcomes
  • Writing robust and testable code
  • Cultivating strong collaborations with teammates and stakeholders
  • Sharing technical solutions and product ideas with the team through design/code reviews and weekly meetings

 

 

What will make you successful

  • Experience transforming natural language data into useful features using NLP techniques to feed classification algorithms
  • Knowledge of applying transformers to solve supervised learning problems.
  • Can manipulate data to perform analysis, including querying data, defining metrics, and using data to evaluate a hypothesis.
  • Knowledge of LLMs and their applications
  • Knowledge of software versioning control repositories such as GitHub
  • Ability to translate data insights into actionable items and communicate findings in a simplistic way
  • Enthusiasm for learning new things and going deep into detailed data analysis
  • Workflow flexibility, team player, and strong collaboration skills

 

Qualifications

  • BS in Computer Science, Statistics or Applied Mathematics or equivalent field with a minimum of 4 years’ experience in software development, statistical modeling, and machine learning OR MS in Computer Science, Statistics, Applied Mathematics or equivalent field with a minimum of 2 years’ experience in software development, statistical modeling, and machine learning
  • Experience in processing and modeling text and document data for ML applications.
  • 4+ years of work and/or education experience with Python
  • Familiarity with SQL or other querying languages
  • Proficiency in any of the following: Azure, AWS, Pytorch, shell CLI, langchain, llama-index, Tableau, and Docker.

 

#LI-MM1

 

Why should you join Armstrong World Industries?

Armstrong World Industries (AWI) is a leader in the design and manufacture of innovative commercial and residential ceiling, wall and suspension system solutions in the Americas. With approximately $1B in revenue, AWI has about 2,800 employees and a manufacturing network of fifteen facilities in North America.

 

At home, at work, in healthcare facilities, classrooms, stores, or restaurants, we offer interior solutions that help to enhance comfort, save time, improve building efficiency and overall performance, and create beautiful spaces.

 

For more than 150 years, we have built our business on trust and integrity. It set us apart then, and it sets us apart now, along with our ability to collaborate with and innovate for the people we're here to serve - our customers, our shareholders, our communities and our employees.

 

We are committed to developing new and sustainable ceiling solutions, with design and performance possibilities that make a positive difference in spaces where we live, work, learn, heal and play. It's an exciting, rewarding business to be in, and we're committed to continue to grow and prosper for the benefit of all of our stakeholders. We hope you join us.

 

Our Sustainability Ambition

"Bringing our Purpose to Life" - lead a transformation in the design and building of spaces fit for today and tomorrow.


We are committed to:

  • Engaging a diverse, purpose-driven workforce;
  • Transforming buildings from structures that shelter into structures that serve and preserve the health and well-being of people and planet;
  • Pursuing sustainable, innovative solutions for spaces where we live, work, learn heal and play;
  • Being a catalyst for change with all of our stakeholders; and
  • Making a positive difference in the environments and communities we impact.

 

Armstrong is committed to engaging a diverse, purpose-driven workforce.  As part of our dedication to diversity, AWI is committed to Equal Employment Opportunity and all qualified applicants receive consideration for employment without regard for race, sex, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at by email at AWI talent acquisition and let us know the nature of your request and your contact information. Requests for accommodation will be evaluated on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

 

Come and build your future with us and apply today!


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