Machine Learning Engineer

Sandbar; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health, vision, dental benefits

Company-sponsored 401(k)

Unlimited PTO and sick time

Early stage equity

Job summary

Sandbar, based in New York City, is hiring a machine learning engineer to develop software and ML algorithms for human-computer interface products. You will design architectures around large language models for conversational and information retrieval tasks, and use data science methods to optimize model performance and cost.

The role requires 2+ years of ML engineering, family of LLMs knowledge, and real-time ML experience, with in-office presence 3x per week and telecommuting options.

Qualifications

• Bachelor’s degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer.
• 2 years building and deploying ML-based applications, including data curation and model training.
• 2 years researching and developing applications based on large language models such as OpenAI GPT models or Anthropic Claude models, and open source models such as Meta Llama models.
• 2 years of experience in quantitative analysis based on data science.
• 2 years of experience in Python programming language.
• 2 years of experience building real-time applications utilizing ML models, such as real-time voice conversation via speech-to-text models, real-time image processing utilizing vision-language models, or other real-time ML-based systems in a professional context for internal tools or external products.
• 1 year of experience with AWS or GCP.
• 1 year of experience with Docker, TorchServe, AWS Lambda, or SageMaker.
• 1 year of experience developing retrieval augmented generation systems to improve the accuracy of information retrieval in applications utilizing large language models in a professional context for internal tools or external products.
• Prior experience in at least 1 startup-stage company (founding engineer to Series A company).

Responsibilities

• Develop software and ML algorithms for use in human computer interface products.
• Design system architectures involving large language models for conversational, information retrieval, and digital automation tasks.
• Utilize data science and statistical methods to analyze and optimize machine learning model performance across tasks.
• Optimize the aforementioned systems for latency, reliability, and cost.
• Telecommuting permitted. 3x/week in office required.

Skills

Python

ML Engineering

Data Science

Real-time ML

Speech-to-Text

Vision-Language Models

OpenAI GPT models

Anthropic Claude

Meta Llama

Model Training

Education

Bachelor’s degree in CS/Engineering/Data Science/ML

Tools

Docker

TorchServe

AWS Lambda

SageMaker

AWS/GCP

Job description

About Sandbar

Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.

Our first product, Stream, is a self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.

Join us in creating technology that extends human thinking.

RESPONSIBILITIES

This role involves developing software and machine learning algorithms for use in human computer interface products. This includes designing system architectures involving large language models for conversational, information retrieval, and digital automation tasks. This also includes utilizing data science and statistical methods to analyze and optimize machine learning model performance across tasks. Lastly, this includes optimizing the aforementioned systems for latency, reliability, and cost. Telecommuting permitted. 3x/week in office required.

REQUIREMENTS

Requires a bachelor’s degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building & deploying ML-based applications, including data curation and model training; 2 years of experience researching and developing applications based on large language models such as OpenAI GPT models or Anthropic Claude models, and open source models such as Meta Llama models; 2 years of experience in quantitative analysis based on data science; 2 years of experience in Python programming language; 2 years of experience building real-time applications utilizing ML models, such as real-time voice conversation via speech-to-text models, real-time image processing utilizing vision-language models, or other real-time ML-based systems in a professional context for internal tools or external products; 1 year of experience with AWS or GCP; 1 year of experience with Docker, TorchServe, AWS Lambda, or SageMaker; 1 year of experience developing retrieval augmented generation systems to improve the accuracy of information retrieval in applications utilizing large language models in a professional context for internal tools or external products; and prior experience in at least 1 startup-stage company (founding engineer to Series A company). Must be able to successfully complete competency-based interviews

FTE Benefits

• Health, vision, and dental benefits
• Company-sponsored 401(k)
• Unlimited PTO and sick time
• Early stage equity