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Director, Machine Learning & EngineeringDirector, Machine Learning & Engineering
Angi
New York, United States (region)
$250k - $325k
ML Engineer
GPT
Python
LLM
Search
API
AI
Network
Posted 11 days ago
Corporate Marketing ManagerCorporate Marketing Manager
Geotab
Atlanta, United States (city)
ML Engineer
GPT
C
Marketing
Sales
Cloud
AI
Network
Jira
Posted 17 days ago
Corporate Marketing ManagerCorporate Marketing Manager
Geotab
Toronto, Australia (city)
$70k - $90k
ML Engineer
GPT
Marketing
Sales
Cloud
AI
Network
Jira
Posted 17 days ago
NLP/ML Engineer (M/F)NLP/ML Engineer (M/F)
SESAMm
Paris, France (city)
Data science
NLP
ML Engineer
GPT
Prompt Engineer
Python
Tensorflow
PyTorch
LLM
Unsupervised Learning
Sales
Cloud
AWS
AI
Open Source
GitHub
Posted 18 days ago
Founding ML Engineer - AIFounding ML Engineer - AI
Gather
San Francisco, Argentina (city)
$187k - $237k
ML Engineer
GPT
Python
LLM
Typescript
AI
Posted 18 days ago
VP, Product ManagerVP, Product Manager
RAPP
New York, United States (region)
Business Intelligence
Product Manager
GPT
LLM
Marketing
API
SQL
AI
Agile
Scrum
Posted 18 days ago
Senior Engineering ManagerSenior Engineering Manager
Labelbox
San Francisco, Argentina (city)
$220k - $250k
Front-end
Back-end
GPT
Engineering Manager
Java
Python
LLM
Kotlin
Kubernetes
API
Cloud
React
GCP
Node.js
Typescript
GraphQL APIs
AI
Developer
Full-stack
MySql
Kafka
Jira
Agile
Databricks
Posted 21 days ago
Senior Backend Engineer (PHP)/DevOps (all genders)Senior Backend Engineer (PHP)/DevOps (all genders)
WongDoody
Berlín, El Salvador (city)
Front-end
Back-end
DevOps
GPT
Python
Docker
Marketing
Cloud
Terraform
AWS
GCP
Azure
GraphQL APIs
AI
Bash
PHP
Laravel
.NET
GitHub
GitLab
Agile
Scrum
Linux
Posted 22 days ago
Tax Software EngineerTax Software Engineer
Instead
Hyderabad, India (city)
GPT
Javascript
AI
GitHub
XML
JSON
Posted 22 days ago
Technology Project ManagerTechnology Project Manager
ICONIQ Capital
New York, United States (region)
$120k - $140k
Business Intelligence
GPT
AI
Project manager
Agile
Scrum
Posted 24 days ago
Senior Software Engineer - PlatformSenior Software Engineer - Platform
Prodigal
Mumbai, India (city)
DevOps
ML Engineer
GPT
Architect
Data Warehouse
Python
Docker
Kubernetes
Golang
Postgres
AWS
SQL
AI
Software engineer
MongoDB
Prometheus
Databricks
EC2
Lambda
DynamoDB
Posted 24 days ago
Account Manager (Brazil)Account Manager (Brazil)
FreeWill
Brazil, South America (country)
$26k - $35k
GPT
Video
AI
Account manager
Posted 25 days ago
Director of Engineering(AI)Director of Engineering(AI)
Innovaccer Inc.
San Francisco, Argentina (city)
Data science
NLP
ML Engineer
GPT
Computer Vision
Architect
Big Data Engineer
Python
Tensorflow
PyTorch
Reinforcement Learning
Javascript
Cloud
AWS
GCP
Azure
AI
Open Source
Posted 26 days ago
Senior AI Software EngineerSenior AI Software Engineer
MNTN
United States, Northern America (country)
GPT
LLM
Docker
Kubernetes
Search
Marketing
Cloud
SQL
AI
Git
Software engineer
Posted 26 days ago
Senior Software EngineerSenior Software Engineer
HighFi
Toronto, Australia (city)
GPT
LLM
Redis
API
React
Postgres
GCP
Typescript
AI
Posted 1 month ago
Published: 2025-05-27  •  New York, United States (region)
AI
LLM
GPT
ML Engineer
API
Search
Python
Network
$250k - $325k
Remote
Full-time

At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

  • A new homeowner turns to Angi every second
  • Our network has 150,000+ skilled pros in 50+ service categories
  • 150,000,000+ projects brought to Angi (and counting)

Why join Angi:

Angi® is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. 

For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. 

We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods.

Angi is an amazing place to call home. We can’t wait to welcome you.

What you’ll do

Angi is seeking an exceptional Director of Machine Learning and Engineering to be a driving force behind Angi's transformation. The role is to be a leader in our Artificial Intelligence team, tackling challenges such as integrating Angi’s search with LLM Providers like OpenAI GPT and Google Gemini. This is a leadership role, leading a team of dedicated machine learning engineers to both develop ML prototypes and then take them to production. In addition to being a leader, we’re also looking for someone who can dive into tech and get their hands dirty to solve some of Angi’s biggest technical challenges.

  • Leadership: Lead and grow a team of talented machine learning engineers, providing guidance, mentorship, and support to foster professional growth. For our most complex challenges, you will dive into the tech to work through solutioning alongside your team.
  • LLM Deployment and Optimization: Oversee the fine-tuning and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework, with a focus on optimizing model performance and scalability to enhance user experience and drive business results.
  • Integration with 3rd Party AI APIs: Oversee the integration and management of AI tools and third-party solutions, including OpenAI GPT, Google Gemini, Meta AI, and Salesforce AI, to enhance user experience and business performance.
  • Engineering & Product Collaboration:  Partner with engineering, product, and design teams to build robust, scalable real-time APIs, and work on the entire development process to seamlessly integrate AI solutions into our products.
  • Innovation: Foster  innovation within the team, exploring new approaches and techniques to solve complex business problems.

Who you are

  • You have a Master’s or Ph.D. in a computer science or quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
  • You have 10+ years of experience in machine learning & engineering, with a focus on large-scale distributed application architecture for deploying ML models to production.
  • You are an expert in machine learning deployment, API development, and real-time ML workloads.
  • You are proficient in Python and comfortable diving deep into technical challenges alongside your team.
  • You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

  • The salary band for this position ranges $250,000-$325,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
  • This position will be eligible for a competitive year end performance bonus & equity package. 
  • Full medical, dental, vision package to fit your needs 
  • Flexible vacation policy; work hard and take time when you need it 
  • Pet discount plans & retirement plan with company match (401K) 
  • The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

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