Innovate to solve the world's most important challenges
Honeywell is a Fortune 100 company with global sales surpassing $40B and has been one of Fortune’s Most Admired Companies for over a decade. Through innovation, the Company brings together the physical and digital world to tackle some of the toughest societal and business problems – making the world a more productive, safe, and sustainable place.
We’re looking for a new senior team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
Have endless opportunities to progress your career as you develop new offerings that impact a wide range of industries, improve the quality of life, and truly change the world.
As a Machine Learning Engineer with Honeywell, this is your opportunity to develop machine learning models for computer vision applications to address unique and complex problems for the variety of breakthrough solutions.KEY RESPONSIBILITIES
Design, develop and deploy experiments to improve efficiency of machine vision algorithms.
Extend and enrich existing ML model pipelines for data ingestion, processing, training, deployment.
Explore and visualize data for better understanding of outcomes of training experiments.YOU MUST HAVE
Master's degree in Computer Science, Engineering, Applied Mathematics or related field.
3+ years of experience programming in Python.
3+ years practical experience in algorithm development within computer vision domain (traditional CV and deep-learning) —key areas of interest include object detection, instance segmentation, object tracking, multiple view geometry.
3+ years of Machine Learning engineering experience using PyTorch and TensorFlow.WE VALUE
PhD degree in Computer Science, Engineering, Applied Mathematics or related field.
Experience with database management systems, data platforms (e.g. Streaming Data Platform, Kafka, Logstash, Teradata, Hadoop, etc.), and data formats (e.g. SQL, NoSQL, AWS S3, JSON, Redis, neo4j, etc.) for efficient ML feature extraction and data transformations.
A strong understanding of big data concepts and knowledge of big data languages/tools.
Exceptional data science skills, including a strong understanding of statistics, probability, and algorithms that enable you to quickly come up with solutions that combine multiple information streams.
Previous experience moving prototypes to production environment and optimizing models in production environment.
Ability to stay abreast of current and emerging technologies in support of new concept development.
Result-driven, positive “can-do” attitude.
Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems.
- JOB ID: req268814
- Category: Engineering
- Location: Atlanta,Georgia,United States
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.