Senior Machine Learning Engineer, AI Insights

November 11

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $106.2k - $210k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Affinity.co

WebsiteLinkedInAll Job Openings

Artificial Intelligence • B2B • Finance

Affinity. co is a relationship intelligence platform that helps manage and grow business networks. Affinity leverages artificial intelligence to automatically analyze and organize data on business contacts to provide actionable insights and enhance relationship building efforts. It is especially beneficial for dealmakers in industries like investment banking, private equity, and venture capital, enabling them to maintain stronger professional connections and improve deal flow.

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🤝 B2B

💸 Finance

📋 Description

• Own the full ML lifecycle: Take projects from ideation to production, including feature engineering, model selection, deployment, and model observability and evaluation. • Translate business needs into ML solutions: Gather product requirements and translate them into robust ML system design requirements. • Build sophisticated recommendation and ranking systems: Design and implement ranking and recommendation systems using techniques such as learn-to-rank (LTR) and collaborative filtering. • Solve complex problems: Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. • Collaborate cross-functionally: Partner with cross-functional teams (product management, infrastructure, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations.

🎯 Requirements

• 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. • Hands-on experience developing recommendation and ranking systems at scale, using techniques such as: • Learn-to-rank (LTR) algorithms, including RankNet, LambdaRank, or similar approaches • Collaborative filtering and content-based filtering • Reranking strategies and hybrid search implementations • Information retrieval and relevance scoring • Solid understanding of machine learning techniques, including clustering and decision forests. • Experiences with serving ML models for streaming and batch inference at scale. • Experience with vector databases (milvus, weaviate) or graph database (Neo4j) • Proficiency in Python and modern ML frameworks (PyTorch, Scikit-learn, or similar) • Track record of building maintainable, testable, and production-grade codebases • Experience with observability tools for online and offline model evaluation, A/B testing, and tracing for AI applications. • Nice to Have: • Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvement. • Develop AI applications powered by LLMs and agent-based systems • Familiar with modern LLM development frameworks: • Feature development: LangChain, LlamaIndex, or similar orchestration frameworks • Evaluation & monitoring: LangSmith, Weights & Biases, TruLens, DeepEval, Azure AI, or equivalent tools • Experience with text-to-SQL (text2sql) generation or similar natural language to structured query tasks • Experience with packaging, CI/CD and pipeline automation.

🏖️ Benefits

• Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being. • Retirement Planning: We offer a 401(k) plan to help you plan for your future. • Learning & Development: We provide an annual education budget and a comprehensive L&D program. • Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. • Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success.