Lead ML Engineer — Conversational AI & User Experience

Vochure; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health benefits

Vision benefits

Dental benefits

401(k) plan

Unlimited PTO

Equity

Job summary

Sandbar in New York City is seeking a hands-on tech lead to design self-aligned agentic experiences in Stream and guide a focused team building it. You will set the technical direction, implement end-user experiences, and ensure the agent works for general customers.

You will collaborate with founders and backend, iOS, and ML engineers to optimize ML-based products, improve latency, and deploy scalable models while prioritizing privacy and user control.

Qualifications

• 6+ years in machine learning experience.
• Experience shipping ML-based products is required.
• Experience in large-language model evaluation and post-training is required.
• Experience in audio / voice ML is a plus.
• Comfortable writing production-grade software.
• Passion for human-computer interaction.
• Experience setting technical direction and driving execution with multidisciplinary teams.

Responsibilities

• Lead architecture, strategy, and tradeoffs for our ML-based products.
• Design and improve user-facing model-based experiences, including agentic control, conversational interactions, and information retrieval.
• Develop infrastructure to rapidly develop, evaluate, and deploy models.
• Optimize inference pipelines for latency, reliability, and concurrency.
• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products.

Skills

ML model development

Team leadership

Production-grade software

User-focused design

Job description

Sandbar in New York City is seeking a hands-on tech lead to design self-aligned agentic experiences in Stream and guide a focused team building it. You will set the technical direction, implement end-user experiences, and ensure the agent works for general customers.

You will collaborate with founders and backend, iOS, and ML engineers to optimize ML-based products, improve latency, and deploy scalable models while prioritizing privacy and user control.