Senior Machine Learning Platform Engineer, ML Foundations

1 month ago


San Francisco, California, United States Block Full time

Company Description
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Description
About machine learning
ML is essential to Block's daily operations and long term success. Its usage has grown dramatically over the past few years and is only accelerating. As more teams integrate ML capabilities, so has the need to avoid duplication by providing shared capabilities.
About the team
Machine Learning Foundations (MLF) builds scalable, composable components for ML use cases. We work closely with platform and product teams across the company to amplify their growth by solving complex problems that impact multiple business groups. Block's ML community is too large and moves too quickly for MLF to stay ahead of such a diverse set of needs, so we target a narrower set of use cases that will have an outsized impact on our internal customers.
About the role
We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also have opportunities to work across the entire machine learning lifecycle. As a platform engineer, you will work closely with our internal customers to understand their needs and translate those into sustainable software solutions.
We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. Candidates must demonstrate professional experience with the end-to-end ML lifecycle, and we prefer candidates who also have experience building platforms. Beyond that:
You will

  • Design and build tools and systems that make data scientists happier and more productive
  • Work closely with data science and engineering teams across Block, particularly Cash and Square, to understand their needs and solve their problems
  • Lead architectural and design discussions to ensure our platform is modular, scalable, fault tolerant, and sustainably built
  • Mentor your teammates and assist engineers on other teams who integrate with our platform
  • Leverage your machine learning knowledge by providing insightful feedback
  • Participate in an oncall rotation; maintain exceptional reliability standards while ensuring the team's oncall rotation is sustainable


Qualifications
You have

  • 8+ years of combined experience in software engineering and machine learning engineering
  • 5+ years of experience with the ML lifecycle, such as feature engineering, model training, etc.
  • Strong technical judgment and meaningful experience handling complex technical concepts
  • Experience with large-scale distributed systems built around ML
  • A track record of healthy collaboration with product managers, engineers, and other stakeholders
  • Preferred: experience building machine learning platforms or infrastructure


Qualifications
You have

  • 8+ years of combined experience in software engineering and machine learning engineering
  • 5+ years of experience with the ML lifecycle, such as feature engineering, model training, etc.
  • Strong technical judgment and meaningful experience handling complex technical concepts
  • Experience with large-scale distributed systems built around ML
  • A track record of healthy collaboration with product managers, engineers, and other stakeholders
  • Preferred: experience building machine learning platforms or infrastructure


  • San Francisco, California, United States Labelbox Full time

    Labelbox: Labelbox is a cutting-edge AI platform dedicated to developing intelligent applications. Teams leveraging generative AI and LLMs for their projects use the Labelbox platform to incorporate human supervision and automation effectively. From refining AI products with LLMs that need human intervention to streamlining tasks like data labeling and...


  • San Francisco, California, United States Stripe Full time

    Who we areAbout Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work...


  • San Francisco, California, United States Western Governors University Full time

    If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being...


  • San Francisco, California, United States GSK LLP Full time

    At GSK, we envision a future where cutting-edge applications of Machine Learning and AI enable us to develop innovative treatments for existing diseases and swiftly address evolving health challenges with personalized medications. This ambitious vision necessitates the creation of advanced products and solutions at the forefront of Machine Learning and AI...


  • San Francisco, California, United States Next Ventures Full time

    I am partnered with a Series A Start-Up, who are transforming the e-commerce landscape by redefining the shopping experience and offering a platform, where customers can engage and transact directly within a conversation thread.Reporting directly to the CTO, they are hiring for a Software Engineer (Machine Learning), where you will be responsible for helping...


  • San Francisco, California, United States Reddit Full time

    As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities.Ads prediction team's mission...


  • San Diego, California, United States CEREBRAS SYSTEMS INC. Full time

    Cerebras' systems are designed with a singular focus on machine learning. Our processor is the Wafer Scale Engine (WSE), a single chip with performance equivalent to a cluster of GPUs, giving the user cluster-scale capability with the simplicity of programming a single device. Because of this programming simplicity, large model training can be scaled out...


  • San Francisco, California, United States Block Full time

    Company DescriptionIt all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47...


  • San Francisco, California, United States Block Full time

    Company DescriptionIt all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47...


  • San Francisco, California, United States Weights & Biases Full time

    At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive...


  • San Francisco, California, United States Weights & Biases Full time

    At Weights & Biases, our mission is to build the best developer tools for machine learning. Weights & Biases is a series C company with $250 million in funding and a rapidly growing user base. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive...


  • San Francisco, California, United States Discord Full time

    This position is US based only. Discord is about giving people the power to create space to find belonging in their lives. We want to make it easier for you to talk regularly with the people you care about. We want you to build genuine relationships with your friends and communities close to home or around the world. Original, reliable, playful, and...


  • San Francisco, California, United States Unreal Gigs Full time

    Job DescriptionJob DescriptionCompany Overview: Welcome to the forefront of machine learning innovation At our company, we're dedicated to harnessing the power of machine learning to solve complex problems and drive transformative change. Our mission is to develop cutting-edge machine learning solutions that empower businesses to make smarter decisions and...

  • Senior ML Engineer

    4 weeks ago


    San Francisco, California, United States Augmedix Full time

    About Augmedix:Augmedix (Nasdaq: AUGX) delivers industry-leading, ambient medical documentation and data solutions to healthcare systems, physician practices, hospitals, and telemedicine practitioners. Augmedix is on a mission to help clinicians and patients form a human connection by seamlessly integrating our technology at the point of care. Augmedix's...

  • Senior ML Engineer

    3 weeks ago


    San Francisco, California, United States Augmedix Full time

    About Augmedix:Augmedix (Nasdaq: AUGX) delivers industry-leading, ambient medical documentation and data solutions to healthcare systems, physician practices, hospitals, and telemedicine practitioners. Augmedix is on a mission to help clinicians and patients form a human connection by seamlessly integrating our technology at the point of care. Augmedix's...


  • San Francisco, California, United States Health at Scale Full time

    Health at Scale is the market leader in precision health -- digital health programs that offer smart, hyper-personalized insights to help individuals choose the best providers, treatments, care settings and lifestyle choices for their unique healthcare needs. Founded by leading machine learning and clinical faculty from MIT, Stanford, Harvard and the...


  • San Francisco, California, United States Ritual Full time

    About Ritual Ritual is the network for open AI infrastructure. We build groundbreaking, new architecture on a crowdsourced governance layer aimed to handle safety, funding, alignment, and model maintenance.Join us on the journey to decentralize AIAbout the roleWe are looking for a talented and motivated Machine Learning Product Engineer to join our team. In...


  • San Francisco, California, United States Ritual Full time

    About Ritual Ritual is the network for open AI infrastructure. We build groundbreaking, new architecture on a crowdsourced governance layer aimed to handle safety, funding, alignment, and model maintenance.Join us on the journey to decentralize AIAbout the roleWe are looking for a talented and motivated Machine Learning Product Engineer to join our team. In...


  • San Francisco, California, United States Block Full time

    Company DescriptionIt all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47...


  • San Francisco, California, United States Block Full time

    Company DescriptionIt all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47...