ML Technical Lead - Agentic Experiences & Conversational AI

Sandbar; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Unlimited PTO

Job summary

Sandbar in New York City is building Stream, a consumer product that extends human thinking through agentic experiences. We are seeking a tech lead to design self-aligned experiences and lead a focused team building Stream.

You will set technical direction, ship user-facing ML features, work with founders and the backend, iOS, and ML engineers, and ensure latency and quality. This is hands-on leadership for a consumer product, not a research role.

Qualifications

• 6+ years of hands-on machine learning experience.
• Experience shipping ML-based products.
• Experience in large-language model evaluation and post-training.
• 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

6+ years ML experience

Shipping ML-based products

LLM evaluation & post-training

Audio/voice ML

Production-grade software

Human-computer interaction

Technical leadership

Job description

Sandbar in New York City is building Stream, a consumer product that extends human thinking through agentic experiences. We are seeking a tech lead to design self-aligned experiences and lead a focused team building Stream.

You will set technical direction, ship user-facing ML features, work with founders and the backend, iOS, and ML engineers, and ensure latency and quality. This is hands-on leadership for a consumer product, not a research role.