AI Engineer
Guidehouse
AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonTerraformTypeScript
Machine Learning Engineer 5 – Platform Forecasting, Optimization
Netflix
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $170,000 - $720,000 per year
Job Level
Junior
Tech Stack
CloudJavaPythonPyTorchTensorflow
About the role
- Forecast and predict key business and technical inputs such as traffic volume and resource demand across our fleet of cloud services and systems
- Build, update and maintain machine learning models to optimize our infrastructure footprint on topics such as capacity planning, autoscaling, loadshedding, and traffic steering
- Own the end-to-end model lifecycle including ideation, feature building, training, evaluation, monitoring and continuous improvement
- Partner with software engineers to identify high value opportunities to apply modeling techniques to improve the performance of infrastructure management systems
- Partner with ML engineers and data scientists on model observability initiatives and experimentation to improve model design
- Live Netflix values while bringing a new perspective to continue improving our culture
Requirements
- Experienced in developing and implementing machine learning models with a successful track record of driving business impact
- Deeply familiar with the ML lifecycle
- Strong technical judgment when assessing different solutions for deploying models in production
- Experienced in the infrastructure domain, having worked on large distributed infra systems on topics such as demand forecasting, capacity planning, traffic steering, load balancing, etc.
- Exceptional thought partner with strong communication skills, able to explain complex technical concepts clearly to cross-functional partners and business leaders
- Comfortable with ambiguity and a strong ownership mindset
- Strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow
- Experience with languages like Java or C++ is a plus
- Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi) is a plus
- Familiarity with operational tooling for ML services (monitoring, alerting, etc.)
Benefits
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- 35 days annually for paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning modelscapacity planningtraffic steeringload balancingPythonPyTorchTensorFlowoptimization modelsXPresscvxpy
Soft skills
strong communication skillsstrong technical judgmentexceptional thought partnerownership mindsetcomfortable with ambiguity
