
About Nooks
AI-driven sales solutions for remote teams
Key Highlights
- Raised $70 million in funding, with rounds in 2024
- Headquartered in Polk Gulch, San Francisco, CA
- Specializes in AI tools for sales teams
- Offers 'Call Analytics' for call transcription and analysis
Nooks, headquartered in Polk Gulch, San Francisco, CA, is an AI-powered parallel dialer and virtual sales floor designed specifically for sales teams. Founded in 2020, Nooks has raised $70 million in funding, with significant rounds occurring in 2024 due to rapid growth. The platform offers tools li...
🎁 Benefits
Nooks offers competitive equity options, generous PTO policies, and a flexible remote work environment to support a healthy work-life balance for its ...
🌟 Culture
Nooks fosters a unique culture focused on enhancing collaboration and team building in remote settings, leveraging AI to streamline sales processes wh...
Skills & Technologies
Overview
Nooks is hiring an Applied Machine Learning Engineer to implement ML features into their AI Sales Assistant Platform. You'll work with technologies like Python and Machine Learning to enhance sales use cases. This position requires prior industry experience in machine learning.
Job Description
Who you are
You have prior experience working in industry for a business where machine learning is a core part of the offering — you've successfully implemented ML features that drive significant business value. You are familiar with training production models to improve their accuracy for specific use cases, particularly in sales environments. Your technical strategy aligns with performance, cost, and feasibility considerations, ensuring that your solutions are both effective and efficient.
You are excited about tackling interesting technical challenges in a nascent area like AI-powered real-time collaboration — you thrive in environments where innovation is key and are eager to contribute to a product vision that is ambitious and forward-thinking. You understand the importance of collaboration and communication within a team, and you are ready to engage with cross-functional partners to achieve shared goals.
What you'll do
In this role, you will focus on implementing machine learning features into Nooks' platform, enhancing the capabilities of the AI Sales Assistant. You will be responsible for training production models, ensuring they meet the accuracy requirements for specific sales use cases. You will work closely with other engineers and product teams to align technical strategies with business objectives, contributing to the overall success of the product.
You will engage with various engineering problems, including real-time audio AI and other innovative solutions that enhance user experience. Your work will directly impact the efficiency of sales teams, allowing them to focus on the human aspects of selling while automating routine tasks. You will also have the opportunity to explore new technologies and methodologies that can further improve the platform's performance.
What we offer
Nooks provides a dynamic work environment where you can grow your skills and make a significant impact on the company's success. You will be part of a high-performing team that values collaboration and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better solutions. Join us in transforming the sales landscape with cutting-edge AI technology.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Nooks.
Similar Jobs You Might Like
Based on your interests and this role

Machine Learning Engineer
Mercor is hiring a Machine Learning Engineer to work at the intersection of backend engineering and applied machine learning. You'll build production systems that power performance prediction, search, recommendation, and fraud detection. This role requires expertise in Python and machine learning techniques.

Machine Learning Engineer
Together AI is seeking a Senior Machine Learning Engineer to develop systems and APIs for LLM inference and fine-tuning. You'll work with Python, Go, and Rust to build scalable, high-performance solutions. This role requires 5+ years of experience in production-quality code.

Machine Learning Engineer
Scribd is hiring a Machine Learning Engineer to contribute to their mission of democratizing knowledge and ideas. You'll work in a collaborative environment focused on innovation and flexibility. This position requires a strong background in machine learning and data analysis.

Machine Learning Engineer
Middesk is hiring a Machine Learning Engineer to take end-to-end ownership of the ML lifecycle, from feature design to deployment. You'll work with Python and machine learning frameworks to build AI-driven applications for business onboarding and fraud prevention.

Machine Learning Engineer
Krea is hiring a Machine Learning Engineer to work on large-scale image and video models. You'll train foundation diffusion models and develop novel research techniques. This role requires experience with deep learning frameworks and distributed training paradigms.