Staff Machine Learning Engineer

Deploy • Seattle, WA

1d

About The Position

Deploy is seeking a Staff Machine Learning Engineer to build and launch state-of-the-art machine learning models in production. The role spans the full process of applying ML to production use cases: designing neural networks, gathering and refining data, training and tuning models, deploying them at scale, and analyzing real-world results to improve accuracy and speed. The engineer will develop scalable data pipelines and performant code, contribute to product and backend systems, and help define technical standards and strategic direction. The position also includes mentoring and onboarding ML engineers and leading collaboration across teams.

Requirements

• Bachelor's degree in computer science or a related field.
• At least 8 years of experience building web applications.
• Experience successfully implementing highly available distributed systems or microservices.
• Experience delivering scalable backend APIs.
• Strong interpersonal and communication skills, with a bias toward action.
• Experience writing code and training across distributed systems.
• Ability to understand and make well-reasoned tradeoffs when designing features.
• Expertise in machine learning frameworks such as PyTorch or TensorFlow.
• Expertise in scripting languages such as Python and/or shell scripts, particularly for data analysis.
• Subject-matter expertise in at least one machine learning focus area, such as computer vision or natural language processing.
• Ability to lead end-to-end development of new products.

Responsibilities

• Design and implement neural networks for production use cases.
• Gather and refine data, train and tune models, deploy them at scale with high throughput and uptime, and analyze results to continuously improve model accuracy and speed.
• Write and maintain scalable, performant code that can be shared across platforms.
• Contribute to product and core backend systems by proposing and implementing improvements.
• Improve engineering standards, tooling, and processes.
• Develop novel, accurate, and performant machine learning algorithms for use at scale.
• Conduct metric-driven research experiments to improve model performance.
• Mentor and help onboard machine learning engineers.
• Lead cross-functional collaboration with other teams.
• Contribute to defining strategic direction and planning the roadmap.
• Maintain awareness of industry best practices for data maintenance and handling as they relate to the role.
• Follow policies, guidelines, and procedures for protecting information assets.
• Report actual or suspected security or policy violations and breaches to an appropriate authority.

Benefits

• Health insurance
• Vision insurance
• Dental insurance
• Gym membership
• Paid vacation in accordance with the company's vacation policy
• Stock options may be offered in addition to base pay; hired applicants may receive an equity grant in the form of an option to purchase stock.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior