Design, build, and/or deliver ML models and components that solve real-world business problems.
Inform ML infrastructure decisions using your understanding of ML modeling techniques.
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures.
Construct optimized data pipelines to feed ML models.
Ensure successful deployment of ML models and application code.

Requirements

Bachelor’s degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions.
Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (preferred)
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform (preferred)
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred)
3+ years of experience developing performant, resilient, and maintainable code (preferred)
3+ years of experience with data gathering and preparation for ML models (preferred)
3+ years of people management experience (preferred)
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents (preferred)
3+ years of experience building production-ready data pipelines that feed ML models (preferred)
Ability to communicate complex technical concepts clearly to a variety of audiences.

Benefits

comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
flexibility in working arrangements.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningPythonScalaJavaML frameworksscikit-learnPyTorchDaskSparkTensorFlow

Soft Skills

problem solvingteam leadershipcommunication

Certifications

Bachelor’s degreeMaster’s degreeDoctoral degree