Soris · 14 hours ago
Principal ML Engineer (Applied/Systems)
United States
Full-time
Remote
Lead/Staff
$265K/yr - $495K/yr
12+ years expSoris is a stealth technology company focused on foundational AI and systems design. The Principal ML Engineer will lead the end-to-end development and deployment of machine learning and computer vision systems, collaborating with various teams to create impactful, production-ready solutions.
Computer Software
Responsibilities
Lead design, development, and deployment of machine learning systems from prototype to production, with direct impact on product outcomes
Rapidly experiment with large language models (LLMs), computer vision systems, NLP pipelines, and other ML techniques; validate results and productionize successful approaches
Build, optimize, and scale inference pipelines and model serving infrastructure on AWS
Collaborate closely with backend, data, and platform teams to integrate ML systems into the larger engineering stack
Establish best practices for model versioning, monitoring, performance optimization, reliability, and observability
Influence technical strategy and drive long-term architectural decisions for ML infrastructure
Present complex technical ideas, innovations, and tradeoffs clearly to executives, product partners, and non-technical stakeholders
Mentor and lead other engineers; help grow the ML engineering capability across the organization
Qualification
Required
12+ years of engineering experience with significant focus on machine learning systems, model deployment, and production readiness
PhD or Master's degree in Computer Science, Statistics, or a related field
Strong publication record in top machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV) or demonstrated experience in relevant engineering roles
Demonstrated success in deploying ML models into production, especially for NLP, computer vision, and large language model applications
Strong proficiency in Python; additional experience in Golang and/or C++ is a strong plus
Breadth of experience with cloud platforms and familiarity with managed inference services, orchestration, and scaling
Deep understanding of ML tooling and practices, including model serving frameworks, monitoring, pipelines, and CI/CD
Excellent communicator, comfortable explaining technical work to executives, partners, and diverse audiences
Proven leadership experience, including mentoring engineers and driving technical initiatives across teams
A bias toward action, with the ability to operate effectively in ambiguous environments
Preferred
Experience with feature stores, model registries, or MLOps platforms
Background working in early-stage startups or high-growth environments
Prior work shipping products used at scale in production
Experience with AWS
Company
Soris
Soris is a stealth technology company building at the intersection of foundational AI and systems design for real-world impact.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase