Staff Machine Learning Engineer - Applied AI/ML

Gusto

6 months ago

Denver, CO, USA +4 more

Staff+

H1B Sponsor

Base Salary

$200k - $290k/yr

Responsibilities

Design and develop scalable, production-grade AI and machine learning models for complex business problems.
Lead and mentor teams of ML scientists and engineers, fostering a culture of technical excellence and innovation.
Collaborate cross-functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions.
Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry.
Oversee model validation, deployment, and lifecycle management, ensuring robust monitoring, explainability, and performance.
Guide technical strategy, roadmap, and architectural decisions for the ML/AI function.
Communicate findings, roadmaps, and performance results clearly to executives and non-technical partners.

8+ years’ hands-on experience building and deploying end-to-end ML/AI systems in industry or academia.
Deep expertise in advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, etc.).
Proven track record of delivering large, impactful ML projects into production environments.
Proficient in modern ML frameworks (TensorFlow, PyTorch, etc.) and cloud computing platforms (AWS, GCP, or Azure).
Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review).
Demonstrated leadership in cross-disciplinary teams and ability to mentor scientists and engineers.
Excellent communication skills and business acumen.
Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus.

AWSAzureGoogle Cloud PlatformPythonPyTorchTensorFlow