Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Entertainment, Biotechnology, Media and TechnologyIndustries
Requirements
Candidates should possess a Bachelor’s degree in a relevant field such as Computer Science, Statistics, or Mathematics, and have a minimum of 5 years of experience in machine learning engineering. Strong programming skills in Python and experience with machine learning frameworks like TensorFlow or PyTorch are essential, along with a solid understanding of time series analysis and forecasting techniques. Experience with LLM models is preferred.
Responsibilities
As an Engineer 4, Machine Learning at Comcast, you will lead the design and development of complex time series forecasting models, analyze large datasets to identify patterns and trends, prototype and develop solutions for ML/LLM operations, provide technical guidance to a team of data scientists and engineers, and contribute to the overall success of time series forecasting projects while adhering to Comcast’s operating principles and fostering a culture of innovation and inclusivity.
Skills
Time Series Forecasting
ARIMA
Exponential Smoothing
Seasonal Decomposition
Prophet
LSTM
Large Language Models (LLMs)
Machine Learning
Applied AI
Data Analysis
Model Fine-tuning
Team Leadership
Mentorship
Comcast
Comcast Corporation is a global media and technology company.
About Comcast
Philadelphia, PennsylvaniaHeadquarters
1963Year Founded
$42.3MTotal Funding
IPOCompany Stage
10,001+Employees