Staff Machine Learning Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

The Staff Machine Learning Engineer will lead the design, development, and operation of production-scale machine learning systems while driving technical excellence across engineering initiatives. This role requires strong ownership, collaboration, and the ability to translate complex technical challenges into business value.

• Design, build, deploy, and optimize machine learning models that process large volumes of complex, unstructured data.
• Develop and maintain scalable ML pipelines capable of supporting millions of documents and diverse customer requirements.
• Lead technical initiatives from early experimentation through production implementation and ongoing improvement.
• Create reliable model deployment strategies while ensuring performance, scalability, and operational stability.
• Improve ML system accuracy, efficiency, and latency through advanced techniques such as deep learning, transfer learning, and model optimization.
• Partner with product managers, engineers, and business stakeholders to understand customer needs and deliver impactful AI solutions.
• Establish and promote ML engineering standards, best practices, and repeatable development processes across teams.
• Influence technical decisions and contribute to architectural direction for machine learning platforms.
• Support production systems by applying reliability engineering principles and proactively resolving technical challenges.
• Communicate technical trade-offs, risks, and opportunities clearly across technical and non-technical teams.

Requirements:

The ideal candidate is an experienced machine learning engineer with a strong background in production ML systems, distributed architectures, and collaborative technical leadership.

• 10+ years of software engineering experience, including 4+ years working with production machine learning systems at scale.
• Proven experience designing, deploying, and operating distributed machine learning systems.
• Strong understanding of ML model deployment patterns, data pipelines, and production reliability practices.
• Experience working with programming languages such as Python and familiarity with ML-focused technologies and frameworks.
• Experience with machine learning tools and platforms such as PyTorch, HuggingFace, AWS SageMaker, or similar technologies is preferred.
• Ability to work with large-scale data processing systems and complex, noisy datasets.
• Strong problem-solving skills with a data-driven approach to evaluating solutions and making technical decisions.
• Demonstrated ability to influence engineering practices and technical direction across teams.
• Excellent communication skills with the ability to collaborate effectively in a remote environment.
• Curiosity, empathy, adaptability, and a continuous learning mindset.

Benefits:

• Annual salary range of $206,261 - $330,017.
• Fully remote work opportunity within eligible U.S. locations.
• Comprehensive medical, dental, and vision insurance coverage.
• Paid time off and employee wellness support.
• 401(k) retirement plan.
• Access to modern engineering tools and a high-performance development environment.
• Company-provided top-tier equipment, including a professional laptop setup.
• Opportunity to work on impactful AI/ML systems at significant scale.
• Collaborative culture focused on innovation, learning, and continuous improvement.