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Senior Software Engineer, Machine Learning at Supio

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

230000.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, LLM Architectures, Cloud-Based Platforms, Data Analysis, Performance Evaluation, Communication Skills, Mentoring, Agile Environment

Industry

Software Development

Description

Who we're looking for We're seeking Senior Machine Learning Engineers to drive and scale the validation of our AI systems. You'll lead a team of applied scientists while staying hands-on, building the measurement frameworks and experimental approaches that ensure our AI systems deliver reliable results. What you'll do Design, build, and deploy ML systems that power core product features—from prototype to production. Work across the stack to integrate models into scalable and maintainable infrastructure. Conduct rigorous experimentation, data analysis, and performance evaluation to drive improvements. Collaborate closely with product, design, and engineering teams to align technical solutions with business goals. Mentor junior engineers and help establish best practices for our ML development lifecycle. Own projects end-to-end in a fast-paced, agile environment—wearing multiple hats when necessary. Stay up-to-date with research and emerging techniques to inform our ML roadmap. Qualifications Expertise in Machine Learning algorithms and LLM architectures Experience with developing, fine-tuning, and deploying LLMs and other advanced ML models in production environments. Experience with cloud-based platforms and ML infrastructure (e.g., AWS, GCP, Azure) to scale model development and deployment. Strong communication skills to explain complex ML and LLM concepts to non-technical stakeholders and influence decision-making at the leadership level. Nice-to-haves Experience producing and working with AI-driven or data-heavy platforms. Familiarity with legal technology or products in the legal industry. Previous experience in fast-paced startup environments or building products from the ground up. Compensation The salary range for selected regions is $190,000-230,000 annually plus equity, with the potential for variation based on qualifications and skills.

Responsibilities

Design, build, and deploy ML systems that power core product features. Collaborate closely with product, design, and engineering teams to align technical solutions with business goals.