Machine Learning Engineer
HangFull Time
Senior (5 to 8 years)
San Francisco, California, United States
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a fully remote position.
This information is not specified in the job description.
Key responsibilities include ML modeling such as training, evaluating, and deploying models; scaling ML infrastructure; utilizing API LLM models for business problems; backend engineering; and working on projects like scaling throughput.
Loop offers a collaborative environment where you receive guidance and feedback from the team, work on a broad range of challenging projects from training multimodal LLMs to building AI agent workflows, and have opportunities to define team growth.
Strong candidates will have experience with training and deploying multimodal LLMs, scaling ML inference infrastructure, building AI agent workflows, document extraction using LLMs, backend engineering, and ensuring high model accuracy and scalable ML platforms.
Simplifies payments with advanced technology.
The company's main product simplifies payments in a complex industry, utilizing advanced technologies to streamline the process.