🚀 Machine Learning Engineer
📍 San Francisco, CA
💵 $180k-$250k DOE + Equity
The Company:
Our client is revolutionizing AI-powered real-time collaboration with a platform designed to transform sales reps' workflows. They are building cutting-edge tools that turn unstructured data into actionable insights, enabling teams to increase productivity and focus on what matters most—talking to customers and solving problems. Backed by some prolific investors, they are on a mission to simplify and supercharge communication and collaboration in sales environments. 🌍
The Role:
As the first Machine Learning Engineer on the team, you will be pivotal in bringing AI-powered features to life within their platform. You’ll work on a variety of challenging problems, such as integrating audio AI, implementing real-time data processing, and improving models that support live decision-making. This role is ideal for someone with industry experience where machine learning is a core component of the product. 💼
What You’ll Do:
🎧 Implement real-time audio AI, balancing precision, recall, and latency to accurately detect human interaction during live phone calls.
🛠️ Design and optimize smart call funnels using data wrangling, backend engineering, and GPT-3 for actionable feedback.
🔍 Develop conversation embeddings and models to predict call outcomes and improve sales strategies.
🌐 Continuously monitor and fine-tune LLMs to enhance performance in production environments.
What We’re Looking For:
🌟 3-5 years of experience working with machine learning models in production environments, particularly in AI-driven products.
💻 Expertise in LLMs, transformers, and foundational audio models.
🛠️ Proficiency in Python, PyTorch, and Kubernetes for building and deploying AI solutions.
💡 Experience in real-time data processing and solving latency-sensitive problems.
Tech:
Transformers, LLMs, deep audio foundation models, Python, PyTorch, Kubernetes
If this sounds like the next challenge you’ve been looking for, apply now and we’ll be in touch!
