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TechTree

Machine Learning Engineer

On site

San francisco, United states

$ 180,000 /year

Full Time

27-09-2025

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Skills

Python Monitoring Sales Machine Learning PyTorch TensorFlow AWS Large Language Models Natural Language Processing NLP

Job Specifications

About The Company

Our client is a Series A AI company applying machine learning to solve business-critical problems in customer support and sales. Their platform is already trusted by Fortune 500 customers.

About The Role

Seeking a Machine Learning Engineer to deploy ML models, build data pipelines, and collaborate on NLP features for a Series A AI company.

The role involves bringing cutting-edge machine learning models into production. The Machine Learning Engineer will collaborate with data scientists and backend engineers to ship customer-facing features.

Responsibilities Include

Deploying and monitoring machine learning models in production.
Building scalable data pipelines and inference APIs.
Optimizing models for speed, accuracy, and cost.
Collaborating on new features integrating natural language processing (NLP) and large language models (LLMs).

Requirements

Strong CS fundamentals
software engineering background

Required Skills

Python expertise
PyTorch
TensorFlow
cloud ML tooling
AWS SageMaker
Vertex AI
NLP
LLM

Benefits

Competitive pay and equity
Annual learning stipend
Health, dental, vision + 401k
Opportunity to shape a category-defining AI product

Team members

data scientists
backend engineers

Salary: 120000 - 180000 USD

Equity: equity

About the Company

Hire specialized roles 5x faster with AI. TechTree's recruiting agents automate the talent recruitment process from sourcing to interview scheduling. Our platform allows organisations to set up automated outreach to targeted lists of people by deploying agents that combine LLM-powered language and contextual skills with a hedge fund-like approach, leveraging a unique data set that integrates 100s of data points at a personal level. Our mission is to help professionals spend less time on routine tasks that can be better handl... Know more