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ClickJobs.io · 3 days ago
Senior Lead Machine Learning Engineer
Washington, DC
Full-time
Onsite
Senior Level
$235K/yr - $268K/yr
8+ years exp
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Responsibilities
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform ML infrastructure decisions using understanding of ML modeling techniques and issues.
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 for big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines to feed ML models.
Leverage continuous integration and continuous deployment best practices to ensure successful deployment of ML models and application code.
Ensure code is well-managed, models are well-governed from a risk perspective, and ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Scala, or Java.
Qualification
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Required
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
Preferred
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
3+ years of experience developing performant, resilient, and maintainable code
3+ years of experience with data gathering and preparation for ML models
3+ years of people management experience
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
3+ years of experience building production-ready data pipelines that feed ML models
Ability to communicate complex technical concepts clearly to a variety of audiences
Benefits
Health
Financial benefits
Performance based incentive compensation
Company
ClickJobs.io
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase
