Machine Learning Engineer
Description For Machine Learning Engineer
Dstillery, a leading AI ad targeting company with 24 patents, is seeking a Machine Learning Engineer to join their Data Science Department. This role combines software engineering with strong cloud DevOps skills, focusing on automating, building, and deploying production machine learning solutions. The position offers an exciting opportunity to work on greenfield projects and build new products on a modern, cloud-based machine learning platform.
The company values diversity and work-life balance, welcoming professionals from various backgrounds including academia, fintech, adtech, big tech companies, and startups. As part of the Machine Learning Engineering team, you'll be instrumental in shaping future machine learning products while working alongside researchers and analysts.
The role involves developing MLOps processes, collaborating on new ML products, deploying infrastructure at scale, and maintaining high engineering standards. You'll work with cutting-edge technologies including Google Cloud Platform, Python, various ML frameworks (scikit-learn, TensorFlow, PyTorch), and modern DevOps tools like Kubernetes and Terraform.
This is an excellent opportunity for a software engineer with 2+ years of experience who wants to specialize in machine learning engineering. The position offers flexibility with both remote and office-based options in New York. Dstillery provides a collaborative environment where learning and innovation are encouraged, making it an ideal place for professionals looking to make an impact in the AI and advertising technology space.
Responsibilities For Machine Learning Engineer
- Develop MLOps processes and tools
- Collaborate with researchers and other machine learning engineers to build new machine learning products
- Explore, build and deploy machine learning infrastructure at scale
- Write production code and data pipelines and conduct code reviews
- Promote and exemplify best practices of engineering and data science
Requirements For Machine Learning Engineer
- Bachelor's degree in a quantitative field (CS, EE, Statistics, Physics, Math, etc.)
- 2+ years of industry software engineering experience
- Passion for clean code, building, and automation
- Willingness to learn and work with GCP, Python, ML frameworks, Airflow, Spark, SQL, Kubernetes, JenkinsX, Terraform
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