
Senior Machine Learning Engineer
Integral Ad Science
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • New York • United States
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Salary
💰 $116,900 - $200,400 per year
Job Level
Tech Stack
About the role
- Contribute to the system design for our AI/ML-based services.
- Design and develop testing and monitoring tools for ML models.
- Design and build data pipelines (from storage to monitoring/telemetry).
- Design, develop and support our CI/CD pipeline for AI/ML-based services.
- Provide and maintain experimenting tools for our ML scientists
- Evaluate the technical tradeoffs of every decision
- Perform code reviews and ensure exceptional code quality
- Build robust, lasting, and scalable products
- Iterate quickly without compromising quality
Requirements
- PhD/Master’s degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
- 5+ years machine learning experience in industry
- Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
- Experience working with machine learning, ranking infrastructures, and system design
- Strong understanding of machine learning approaches and algorithms
- Able to prioritize duties and work well on your own
- Ability to work with both internal and external partners
- Skilled at solving open ambiguous problems
- Strong collaboration and mentorship skills
Benefits
- paid time off
- health insurance (medical, dental, vision)
- PPO, HSA and FSA options
- 401k with employer matching contributions
- competitive compensation
- annual bonus and/or other incentive plans
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata pipelinesCI/CDcode reviewsTensorFlowCaffe2PyTorchSpark MLscikit-learnmachine learning algorithms
Soft Skills
problem solvingcollaborationmentorshipprioritizationindependent work
Certifications
PhDMaster's degree