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Netflix Machine Learning Engineer L4 - Infrastructure Algorithms ML United States, California 328355360
23.06.2024
In this role, you will:
- Partner closely with Infrastructure Machine Learning Engineers to build systems designed to improve our extensive infrastructure.
- Help Infrastructure Machine Learning Engineers maintain and support existing systems.
- Use your experience supporting existing systems to inform how we can improve support processes to allow us to scale effectively.
- Help evangelize this work with the broader Algos and ML community at Netflix.
You are:
- Motivated by your curiosity for understanding how complex systems work, especially large scale cloud infrastructure and distributed systems.
- Self-motivated to learn, with an ability to work closely with engineering and ML engineering partners.
- A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus.
- Some experience in implementing and productionizing models in large scale industrial settings is a plus.
- Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi).
- Familiarity with operational tooling for ML services (monitoring, alerting, etc.), and services for model hosting/serving.
- Someone who has “strong opinions, loosely held”. You use data to back up your ideas and are willing to change your mind if new data comes to light.
- Able to communicate your ideas clearly and succinctly with the right amount of detail to audiences with varying technical backgrounds.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is$170,000$720,000.
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