Be an early applicantLess than 25 applicants

This job has closed.

Company

Original Job Post

myGwork - LGBTQ+ Business Community · 3 days ago

Principal Machine Learning Engineer

Seattle, WA

Full-time

Onsite

Senior Level

$94K/yr - $224K/yr

5+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

Internet

Insider Connection @myGwork - LGBTQ+ Business Community

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Lead the design and development of large-scale, high-performance model serving and agentic systems in production environments.

Collaborate with customers to understand their needs and ensure their expectations are met or exceeded.

Communicate complex technical concepts clearly to team members and stakeholders.

Maintain high engineering standards and strive for excellence in all deliverables.

Stay updated with the latest advancements in machine learning technologies and apply them to improve existing systems.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Deep LearningLLM ModelsCloud ComputingLarge Language ModelDeepSpeedFasterTransformerKServeKubeFlowTritonFine-TuningPythonShell ScriptingContainer OrchestrationKubernetesPyTorchJAXTensorFlowTransformersProduction OperationsCode QualityTroubleshootingProblem-SolvingCollaborationCommunication

Required

MS/PhD in Computer Science

5+ years of experience implementing Deep Learning/LLM models and systems

Production experience with cloud computing

Experience with Large Language Model (LLM) serving technologies like DeepSpeed, FasterTransformer, etc.

Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton, etc.

Experience with LLM fine-tuning, especially the latest parameter-efficient fine-tuning technologies and multi-task serving technologies

Proficient in Python and shell scripting tools

Experience with container orchestration technologies like Kubernetes

Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers)

Experience with production operations and best practices for putting quality code in production and troubleshooting issues when they arise

Ability to work in a collaborative, cross-functional team environment

Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations)

Benefits

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance