Senior ML Engineer

🕒 April 24

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Saris AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

💳 Fintech

🤝 B2B

Artificial Intelligence • Fintech • B2B

Saris AI is a company that builds advanced multi-turn AI negotiation and workflow agents for banks, credit unions, and financial services firms to automate complex back-office and customer-facing processes. Their platform focuses on tasks like collections, settlements, AR/AP, loan and deposit servicing, and complex verifications, delivering measurable reductions in workflow cost and increases in output while integrating directly with existing systems and maintaining compliance (SOC2, PCI, FERPA, HIPAA, GDPR).

📋 Description

• Build and own the ML infrastructure that makes our AI systems reliable and improvable, including eval frameworks, prompt management, and model observability • Ship customer-facing AI features on a consistent cadence, balancing new capability delivery with foundational infrastructure work • Define and implement the team's approach to evals, LLM routing, prompt engineering, and model selection • Build pragmatic standards that improve quality without slowing the team down • Contribute to ML technical direction by proactively surfacing trade-offs and architectural options, helping the team make informed decisions on where ML is headed.

🎯 Requirements

• 4+ years of experience in ML or AI engineering, with a track record of shipping production ML systems • Strong hands-on expertise with LLMs, prompt engineering, evals, and model routing • Experience building tooling and systems that have real customer impact • Pragmatic about tradeoffs: knows when good enough is the right call and avoids over-engineering; would rather ship something useful today than design something perfect next quarter • Comfortable working with moderate direction in ambiguous environments, you can take a scoped problem, work through it, and deliver a shipped solution • Builds with the end user in mind; understands how ML decisions impact real customers and prioritizes customer value over technical elegance • Elevates teammates through code review, pairing, and clear communication about technical decisions.

🏖️ Benefits

• Competitive compensation with premium benefits and equity package.