Staff Machine Learning Engineer

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

Job summary

Sandbar is seeking a tech lead to design self-aligned agentic experiences in Stream, guiding a focused team building a consumer product where personalization, privacy, and individual control are paramount. This is a hands-on lead role for a consumer product, not a platform or research role.

You will set the technical direction, build the end-user experience, and ensure the agent works for general customers.

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.

Responsibilities

• Lead architecture, strategy, and tradeoffs for ML-based products.
• Design and improve user-facing model-based experiences, including agentic control, conversations, and info retrieval.
• Develop infrastructure to rapidly develop, evaluate, and deploy models.
• Optimize inference pipelines for latency, reliability, and concurrency.
• Collaborate with ML/AI engineers, infrastructure, designers, and cofounders on current and future products.

Skills

Machine learning

Shipping ML products

LLM evaluation & post-training

Audio/Voice ML

Production-grade software

Human-computer interaction

Technical leadership

Job description

We're looking for a tech lead to design self-aligned agentic experiences in Stream, and lead the tightly focused team building it. Stream is a self extension, where personalization, privacy, and individual control are paramount.

This is a hands-on lead role for a consumer product, not a platform or research role. You will set the technical direction, build the end-user experience, and be responsible for an that agent works in the hands of general customers. You will work directly with the founders and the backend, iOS, and ML engineers building Stream.

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

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