over 4 years ago
Seattle, WA, USAEntry Level / Mid Level
Base Salary
$120k - $180k/yr
Responsibilities
- Design and code neural networks, gather and refine data, train and tune models, deploy them at scale, and analyze production results to improve accuracy and speed.
- Develop scalable and maintainable data pipelines for terabyte-scale datasets.
- Collaborate closely with Backend and DevOps teams and internal data-labeling services.
- Apply OWASP Top 10 techniques to secure code against vulnerabilities.
- Maintain data-handling best practices and comply with information-asset protection policies.
- Report suspected or actual security and policy violations or breaches.
Requirements
- An undergraduate or graduate degree in computer science or a similar technical field, with significant mathematics or statistics coursework.
- 1–2 years of industry machine learning experience.
- Experience training and deploying a deep learning model for image, NLP, video, or audio applications, either professionally or as a personal project.
- Strong experience with a high-level machine learning framework such as TensorFlow, Caffe, or Torch, plus familiarity with the others.
- Strong Python skills applied to machine learning frameworks.
- Ability to prototype data pipelines using Python, Node, Bash, and Linux command-line tools for large datasets.
- Working knowledge of C++, Scala/Spark, SQL, Cassandra, and Docker.
- Current knowledge of deep neural network research, architectures, theory, implementation, and motivations.
- Strong communication and collaboration skills.
Benefits
- Health, vision, and dental insurance are available through company-sponsored benefits.
- Gym membership is provided as part of the company’s wellness program.
- Paid vacation is provided according to company policy.
- Stock options may be offered as an equity grant.