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Senior Machine Learning Engineer, AI Insights
Senior Machine Learning Engineer, AI InsightsAffinity.co • San Francisco, California, USA
Senior Machine Learning Engineer, AI Insights

Senior Machine Learning Engineer, AI Insights

Affinity.co • San Francisco, California, USA
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  • [job_card.full_time]
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Affinity stitches together billions of data points from massive datasets to create a powerful accurate representation of the worlds professional relationship graph. Based on this data we offer our users the insights and visibility they need to nurture and tap into the opportunities in their teams network.

This role is part of the AI Insights team which owns the services that power Affinitys industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to a Senior Machine Learning Engineer you will collaborate with data engineers software engineers and product managers to shape the future of private capitals leading CRM platform. You will design and build AI systems that efficiently uncover insights from compelling business interaction data an exciting and unique opportunity within the industry.

This is an applied machine learning position with a strong emphasis on engineering not research. You will play a key role in advancing our ML Engineering capabilities particularly in recommendation systems and information retrieval.

What youll be doing :

  • 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.

Qualifications

Dont meet every single requirement Studies have shown that women and people of color are less likely to apply to jobs unless they meet every qualification. At Affinity we are dedicated to building a diverse inclusive and authentic workplace so if youre excited about this role but your past experience doesnt perfectly align with the qualifications above we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Required :

  • 5 years of experience in software engineering and / or Machine Learning experience in applying machine learning in production.
  • Recommendation Systems & Information Retrieval :

  • 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.
  • ML Engineering :

  • 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.
  • Tech stack : Our ML pipeline manages multiple Python services that support various AI features including utilizing OCR to extract information from unstructured data serving embedding models to vectorize chunks and ranking a list of recommendations based on relevance and user preference.

    How we work :

    Our culture is a key part of how we operate as well as our hiring process :

  • We iterate quickly. As such you must be comfortable embracing ambiguity be able to cut through it and deliver value to our customers.
  • We are candid transparent and speak our minds while simultaneously caring personally with each person we interact with.
  • We make data-driven decisions and make the best decision for the moment based on the information available.
  • If youd want to learn more about our values click here.

    What youll enjoy at Affinity :

  • We live our values : As owners we take pride in everything we do. We embrace a growth mindset engage in respectful candor act as playmakers and taste the soup by diving deep into experiences to create the best outcomes for our colleagues and clients.
  • 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.
  • Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes in good faith at the time of this posting that it will pay for the posted job.

    A reasonable estimate of the current range is $140200 to $210000 USD . Within the range individual pay depends on various factors including geographical location and review of experience knowledge skills abilities of the applicant.

    About Affinity

    With more than 3000 customers worldwide and backed by some of Silicon Valleys best firms Affinity has raised $120M to empower dealmakers to find manage and close more deals. How Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers Venture Capitalists Consultants and other strategic dealmakers to deliver automated relationship insights that drive over 450000 deals every are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.

    We use E-Verify

    Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify including your rights and responsibilities please visit Experience :

    Senior IC

    Key Skills

    Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 140200 - 210000

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