Machine Learning Engineer at Sandbar
Overview
Lead development of software and machine learning algorithms for human computer interface products. Design system architectures using large language models for conversational information retrieval and digital automation. Optimize models for latency reliability and cost. Telecommute permitted with 3x weekly office requirement.
What You'll Do7
- 1Develop software and machine learning algorithms for human computer interface products
- 2Design system architectures involving large language models for conversational information retrieval and digital automation tasks
- 3Utilize data science and statistical methods to analyze and optimize machine learning model performance
- 4Optimize systems for latency reliability and cost
- 5Drive real-time applications utilizing ML models such as voice conversation via speech-to-text and image processing using vision-language models
- 6Develop retrieval augmented generation systems to improve information retrieval accuracy
- 7Collaborate with cross-functional teams to ship ML-powered products
Requirements11
- 1Bachelor’s degree in computer science engineering data science or machine learning
- 22 years of experience as a machine learning engineer
- 32 years building and deploying ML-based applications including data curation and model training
- 42 years research and development of applications based on large language models such as OpenAI GPT or Anthropic Claude
- 52 years quantitative analysis experience
- 62 years Python programming language proficiency
- 72 years building real-time ML applications such as voice conversation or image processing
- 81 year AWS or GCP experience
- 91 year Docker TorchServe AWS Lambda or SageMaker experience
- 101 year retrieval augmented generation system development experience
- 11At least 1 year startup experience as founding engineer to Series A company
Salary Insight
$160 - $250k per year
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