Full-Time

Senior Machine Learning Engineer II

Posted on 5/30/2024

Affinity

Affinity

201-500 employees

AI-driven relationship management and analytics

Food & Agriculture
Data & Analytics
Cybersecurity
AI & Machine Learning

Senior

Remote in Canada

Required Skills
Tensorflow
Pytorch
AWS
Pandas
Natural Language Processing (NLP)
Requirements
  • 8+ years of experience in software engineering and/or Machine Learning
  • 5+ years of experience with applied machine learning in production
  • 3+ years of experience with NLP techniques
  • Experience with technologies related to multimodal, image extraction/generation, Natural Language Processing
  • Hands-on experience with LLMs and frameworks like Langchain, Hugging Face, Open AI, Anthropic
  • Extensive experience with tools including pandas, scikit-learn, Tensorflow/PyTorch
  • Experience with vector databases
  • Experience with live A/B testing at scale
  • Experience working with large, multi-terabyte datasets
  • Experience with high-scale data ingestion, transformation, analysis, and prediction
  • Experience with Databricks (Nice to Have)
  • Experience with the AWS ecosystem (Nice to Have)
  • Familiarity with using ML to improve data quality (Nice to Have)
  • Prior Data engineering experience (Nice to Have)
  • Experience with recommendation systems and transfer learning (Nice to Have)
  • Knowledge in techniques such as Prompt engineering, fine-tuning, evaluation of LLMs, and observability (Nice to Have)
Responsibilities
  • Take projects from ideation to production including feature engineering, model construction, deployment, and model observability and evaluation
  • Help define the data roadmap and collaborate with product and engineering teams
  • Collaborate with data pipeline and ML engineering teams to build robust, high-scale systems

Affinity.co leverages artificial intelligence to analyze and manage professional relationships by centralizing and interpreting data from emails, calendars, and external sources. This technological approach ensures an organized, updated view of relationship networks, which can greatly enhance networking and business opportunities. As a specialist in AI-driven relationship management, working here means contributing to cutting-edge technology that shapes how businesses connect and thrive in their industries.

Company Stage

Series C

Total Funding

$133.5M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

0%

1 year growth

4%

2 year growth

0%

Benefits

Daily lunches

Commuter passes

Flexible PTO

Free events

Health insurance