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Data Science125 days agoHybrid
Integral Ad Science
Senior Machine Learning Engineer
machine learningTensorFlowPyTorchSpark MLscikit-learnCI/CDdata pipelinesAI/MLsystem designmentorship
Key details
Salary
$117K – $200K
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
New York, New York, United States; San Francisco, California, United States
Full job description
Integral Ad Science is seeking a Senior Machine Learning Engineer for the Data Sciences Team. The role involves designing and developing AI/ML-based systems, testing and monitoring tools, data pipelines, and CI/CD pipelines. The engineer will manage a team of data scientists, mentor talent, and deliver scalable ML solutions for advertising inventory prediction across multiple platforms. Requirements include a PhD or Master's in a technical field or equivalent experience, 5+ years in machine learning, experience with ML frameworks (TensorFlow, PyTorch, Spark ML, etc.), system design, and strong collaboration skills. Benefits include paid time off, health insurance, 401k with matching, and eligibility for bonuses. Locations are San Francisco, CA and New York, NY with a hybrid work model. Salary range is $116,900 to $200,400 annually.
What you'll do
- Contribute to the system design for 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 CI/CD pipeline for AI/ML-based services
- Provide and maintain experimenting tools for 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
Tech stack
TensorFlowCaffe2PyTorchSpark MLscikit-learnCI/CDmachine learningdata pipelinesAI/ML services
Benefits
Paid time offHealth insurance (medical, dental, vision)PPO, HSA and FSA options401k with employer matching contributionsCompetitive compensationAnnual bonus and/or other incentive plans
Apply now
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