Machine Learning Engineer
As the largest pure-play fiber provider in the U.S., we deliver blazing-fast broadband connectivity that unlocks the potential of millions of consumers and businesses. As a Frontier employee, you will be part of our purpose of Building Gigabit America—creating the digital infrastructure that the country needs to thrive today and into the next century. Join us!
What we're seeking:
TO BE FILLED IN BY RECRUITER
In this remote role, you will be expected to collaborate with peers as required but can work anywhere in the contiguous United States.
What we need in you:
What you'll do:
Design and Train Machine Learning Models:Develop and optimize AI models using communications data and customer interaction datasets. Apply fundamental machine learning concepts to build, iterate, and debug models, and explore innovative techniques to address complex problems
Data Collection, Processing, and Analysis:Collaborate closely with senior data scientists to collect, process, and analyze data. Execute well-defined experiments, perform feature engineering, and gain insights from large-scale datasets to enhance model performance.
Debug and Analyze Models:Investigate and troubleshoot model issues to ensure accuracy and reliability. Propose and implement solutions to address and resolve any challenges encountered in model development and deployment
Contribute to a World-Class AI Team:Be an integral part of building a leading AI team in the communications industry. Work with cutting-edge AI technologies and apply your expertise to unique datasets, previously unexplored for predictive modeling. Explore and implement the latest advancements from academic research and industry best practices
Stay Current with Machine Learning Research:Read and interpret the latest machine learning research publications. Engage with internal data science teams to discuss findings, generate new ideas, and experiment with novel approaches using large datasets
What we offer:
Nothing is more important to our success than the team that built it. That's why we provide benefits to keep you and your family well. Some of which we're most proud to offer includes:
Salary Range: $53,000 to $172,000
20 PTO (Paid Time Off) days + 10 paid holidays per year
Day one medical, dental, vision and prescription drug plan
401k match of 50% on 6% of eligible compensation
Tuition Assistance Program
Personal & Work Life Balance Resources & Wellness Support Assistance
Employee Resource Groups
Same-sex spouse and domestic partner benefits coverage
10 weeks of paid parental leave, & a phased return to work program for new parents
Up to $10k in adoption program assistance
3 weeks of paid caregiver leave
What background you should have:
Minimum:
Master's Degree in a quantitative field or relevant experience.
5+ years of industry experience in predictive modeling and data analysis
Experience working with large complex datasets using spark.
Strong background in python language (and R, C/C++)
Experience in Databricks platform
Experience in LLMs
Deep understanding of a modern machine learning framework (TensorFlow, PyTorch, scikit learn)
Deep understanding of statistical methods
Preferred:
PhD in Computer Science (Data Science, Machine Learning, AI)
Exposure to industry or academic research (peer review publications)
Experience in cloud computing technologies (GCP, AWS)
Experience in deploying ML (LLMs) models to production environments
Working knowledge of computer networking
Frontier salaries are estimated by third parties and may or may not reflect actual or total compensation. Please confirm with your recruiter.
In our line of work, where making connections is paramount, fostering a culture of inclusion is fundamental to our values. We firmly believe in leveraging the strength of diversity to drive digital connectivity forward. If your background brings a unique perspective and value different from what we've outlined, we encourage you to apply and join us in our mission to #BuildGigabitAmerica.
Frontier Communications is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.