Supio
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Senior Machine Learning Engineer
role at
Supio
Does this sound like you?
We’re seeking a
Senior Machine Learning Engineer
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.
In This Role You Will
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 the SF Bay Area is $155,000–250,000 annually plus equity, with the potential for variation based on qualifications and skills.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
Referrals increase your chances of interviewing at Supio by 2×
#J-18808-Ljbffr
Senior Machine Learning Engineer
role at
Supio
Does this sound like you?
We’re seeking a
Senior Machine Learning Engineer
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.
In This Role You Will
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 the SF Bay Area is $155,000–250,000 annually plus equity, with the potential for variation based on qualifications and skills.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Software Development
Referrals increase your chances of interviewing at Supio by 2×
#J-18808-Ljbffr