Filters (Clear filters)
Salary
Categories
Unsupervised Learning
Add
Company
Work model
Employment type
Find your next tech job
Most relevant

Unsupervised Learning jobs

AI & Automation EngineerNewAI & Automation EngineerNew
The Weather Company
New York, United States (region)
$140k - $155k
Azure
ML Engineer
Unsupervised Learning
Cloud
Marketing
AWS
Sales
Python
NLP
AI
GCP
Tensorflow
Posted 1 day ago
NLP/ML Engineer (M/F)NLP/ML Engineer (M/F)
SESAMm
Paris, France (city)
Unsupervised Learning
Sales
GPT
Prompt Engineer
AWS
NLP
Python
AI
ML Engineer
Data science
Cloud
Tensorflow
Open Source
PyTorch
LLM
GitHub
Posted 12 days ago
Published: 2025-08-10  •  New York, United States (region)
Tensorflow
AI
Unsupervised Learning
Sales
AWS
ML Engineer
NLP
GCP
Azure
Marketing
Python
Cloud
$140k - $155k
Hybrid
Full-time

About The Weather Company:

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

Job brief:

The Weather Company is seeking a forward-thinking AI & Automation Engineer with hands-on experience in Salesforce, AI/ML, and data analytics to join our growing team. This role will play a critical part in driving the company’s AI initiative focused on automating and optimizing key workflows across Salesforce and connected applications, enabling intelligent operations across Sales, Marketing, and Customer Support functions. The ideal candidate will be passionate about leveraging artificial intelligence to solve real-world problems, comfortable working in a fast-paced, cross-functional environment, and capable of bridging the gap between business needs and technical solutions.

The impact you'll make:

  • Design and implement AI-driven solutions within the Salesforce ecosystem and connected tools, targeting use cases in Sales, Marketing, and Customer Success.
  • Develop machine learning models and intelligent automations to optimize business processes, reduce manual effort, and drive insights across platforms.
  • Integrate AI models with Salesforce workflows, including flows, bots, and Einstein services, and ensure seamless data movement across integrated systems.
  • Build and maintain data pipelines and infrastructure to support real-time and batch AI applications.
  • Lead proof-of-concept (POC) efforts for AI capabilities, including natural language processing (NLP), predictive modeling, and generative AI assistants.
  • Collaborate with stakeholders across product, engineering, and operations to prioritize high-impact AI use cases.
  • Monitor and fine-tune AI models to ensure performance, accuracy, and compliance with enterprise standards.
  • Stay up to date on AI advancements (e.g., LLMs, automation platforms, CRM-integrated AI tools), and assess their applicability to internal initiatives.

What you've accomplished:

  • 5+ years of experience working in or integrating with Salesforce, ideally with knowledge of Service Cloud, Sales Cloud, and platform automation tools (e.g., Flows, Apex, Einstein).
  • Strong proficiency in Python, with experience using AI/ML libraries (e.g., scikit-learn, TensorFlow, OpenAI, LangChain).
  • Working knowledge of CRM data models, data quality best practices, and reporting frameworks.
  • Experience with AI and machine learning techniques, including supervised/unsupervised learning, classification, NLP, or generative models.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data processing frameworks (e.g., Spark, Pandas).
  • Strong understanding of APIs and system integrations, particularly around Salesforce and third-party platforms.
  • Ability to manage and deliver projects in collaboration with cross-functional stakeholders.
  • Excellent communication skills and the ability to translate technical concepts into business value.

Nice to have:

  • Salesforce certifications (e.g., Admin, Platform App Builder, AI Associate, or Einstein Analytics).
  • Experience with Mulesoft, ServiceNow, Snowflake, or similar platforms.
  • Experience building or deploying AI-powered chatbots or virtual agents.
  • Familiarity with data governance, privacy, and compliance in AI solutions.

Base Salary: $140,000 – $155,000

The base salary offered will take into account internal equity and may vary depending on the candidate’s geographic region of work premises, job-related knowledge, skills, and experience, among other factors. 

TWCo Benefits/Perks:
  • Flexible Time Off program
  • Hybrid work model
  • A variety of medical insurance options, including a $0 cost premium employee coverage
  • Benefits effective day 1 of employment include a competitive 401K match with no vesting requirement, national health, dental, and vision plans
  • Progressive family plan benefits
  • An opportunity to work for a global and industry-leading technology company
  • Impactful work in a collaborative environment
Looking for talent?

Get in front of thousands of skilled ML/AI Engineers and discover a suitable candidate for your job opening.