Zip
Senior/Staff Machine Learning Engineer
Zip, San Francisco, California, United States, 94199
Zip is tackling the $50B+TAM space to transform the way businesses manage spend. Our co-founders started Zip (YC S2020) because they saw the challenges companies had using outdated 20 year old software to manage hundreds of millions of dollars in spend every year. We invented the world’s leading Intake-to-Procure solution to bring a consumer grade user experience to B2B purchasing. And, we’re just getting started.
We're a fast growing team that helped scale category-defining companies like Airbnb, Facebook, Salesforce, Apple, Quora, Pinterest, and Square. With $180 million in funding from YC Continuity (Y Combinator), CRV and Tiger Global, we're valued at $1.5 billion in just 3 years. In today's economic climate, the value we offer our customers is more critical than ever and our business is accelerating. We're growing quickly and need your help!
Your Role
Zip launched our first set of AI functionalities in Q4 2023 in various product areas including document extraction, risk detection, workflow automation, vendor consolidation and automated insights. We view AI as a key strategic investment to realize our mission of helping enterprises procure faster, smarter and safer.
We are hiring our first Senior/Staff Machine Learning Engineer onto our AI team to further accelerate our new AI product development as well as improve our AI model accuracy. You’ll work very closely with other engineers and cross-functional partners (e.g. PMs, designers, and sales team) to identify opportunities for business impact, understand, refine, and prioritize requirements for Zip AI products and models, drive engineering decisions, and quantify impact.
You Will
Build and continuously improve cutting edge machine learning models and AI solutions for Zip product and business use case in a hyper-growth environmentHands-on development, productionize, and operate end to end machine learning models and pipelines at scale, including both batch and real-time use cases. Examples include: Zip DocsAI, RAG-based search ranking and recommendation, customer-facing chatbotWork collaboratively with cross-functional partners (e.g., software engineers, product managers, designers, and sales team) to identify opportunities for business impact, understand, refine, and prioritize requirements for Zip AI products and models, drive engineering decisions, and quantify impact.
Qualifications
4+ years experiences designing and developing Machine Learning modelsBachelor’s and/or Master’s degree, preferably in CS/ML or related fieldsProficiency in software development languages (Python/Java/C++ or equivalent) and data engineering skillsDeep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data) and algorithms (e.g., deep learnings, optimization)Experience with Tensorflow or PyTorchIndustry experience in designing and productionizing end-to-end machine learning models (e.g., search ranking, recommendation, personalization, NLP)Exposure to architectural patterns of a large, high-scale software applications (e.g, search, recommendation)Familiarity with LLM and GenAI concepts and use casesStrong product / business sense and can drive product decisionsGreat cross-functional collaboration skills
Preferred Qualifications
Experiences with NLP, LLM, chatbot, or RAG developmentExperiences with designing and productizing ML systems from the ground upExperiences with model serving systems such as TF Serving or Torch Serve
The salary range for this role is $180,000 - $210,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
Perks & Benefits
At Zip, we’re committed to providing our employees with everything they need to do their best work.
Start-up equityFull health, vision & dental coverage️ Catered lunches & dinners for SF employeesCommuter benefitTeam building events & happy hoursFlexible PTOApple equipment plus home office budget401k plan
We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!#J-18808-Ljbffr
We're a fast growing team that helped scale category-defining companies like Airbnb, Facebook, Salesforce, Apple, Quora, Pinterest, and Square. With $180 million in funding from YC Continuity (Y Combinator), CRV and Tiger Global, we're valued at $1.5 billion in just 3 years. In today's economic climate, the value we offer our customers is more critical than ever and our business is accelerating. We're growing quickly and need your help!
Your Role
Zip launched our first set of AI functionalities in Q4 2023 in various product areas including document extraction, risk detection, workflow automation, vendor consolidation and automated insights. We view AI as a key strategic investment to realize our mission of helping enterprises procure faster, smarter and safer.
We are hiring our first Senior/Staff Machine Learning Engineer onto our AI team to further accelerate our new AI product development as well as improve our AI model accuracy. You’ll work very closely with other engineers and cross-functional partners (e.g. PMs, designers, and sales team) to identify opportunities for business impact, understand, refine, and prioritize requirements for Zip AI products and models, drive engineering decisions, and quantify impact.
You Will
Build and continuously improve cutting edge machine learning models and AI solutions for Zip product and business use case in a hyper-growth environmentHands-on development, productionize, and operate end to end machine learning models and pipelines at scale, including both batch and real-time use cases. Examples include: Zip DocsAI, RAG-based search ranking and recommendation, customer-facing chatbotWork collaboratively with cross-functional partners (e.g., software engineers, product managers, designers, and sales team) to identify opportunities for business impact, understand, refine, and prioritize requirements for Zip AI products and models, drive engineering decisions, and quantify impact.
Qualifications
4+ years experiences designing and developing Machine Learning modelsBachelor’s and/or Master’s degree, preferably in CS/ML or related fieldsProficiency in software development languages (Python/Java/C++ or equivalent) and data engineering skillsDeep understanding of Machine Learning best practices (e.g., training/serving, feature engineering, feature/model selection, imbalance data) and algorithms (e.g., deep learnings, optimization)Experience with Tensorflow or PyTorchIndustry experience in designing and productionizing end-to-end machine learning models (e.g., search ranking, recommendation, personalization, NLP)Exposure to architectural patterns of a large, high-scale software applications (e.g, search, recommendation)Familiarity with LLM and GenAI concepts and use casesStrong product / business sense and can drive product decisionsGreat cross-functional collaboration skills
Preferred Qualifications
Experiences with NLP, LLM, chatbot, or RAG developmentExperiences with designing and productizing ML systems from the ground upExperiences with model serving systems such as TF Serving or Torch Serve
The salary range for this role is $180,000 - $210,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.
Perks & Benefits
At Zip, we’re committed to providing our employees with everything they need to do their best work.
Start-up equityFull health, vision & dental coverage️ Catered lunches & dinners for SF employeesCommuter benefitTeam building events & happy hoursFlexible PTOApple equipment plus home office budget401k plan
We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!#J-18808-Ljbffr