Current jobs related to Senior Machine Learning Platform Engineer, ML Foundations - San Francisco - Square
-
San Francisco, California, United States Square Inc. Full timeAbout the RoleWe are seeking an experienced engineer to join our Machine Learning Foundations team at Square Inc. As a Senior Machine Learning Platform Engineer, you will play a key role in building scalable, composable components for machine learning use cases.Key Responsibilities:Design and build tools and systems that make data scientists happier and more...
-
San Francisco, United States Block Full timeJob DescriptionJob DescriptionCompany DescriptionBlock 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....
-
Senior Machine Learning Engineer
2 weeks ago
San Francisco, California, United States Sentry Full timeAbout the RoleSentry is on a mission to revolutionize software development by providing cutting-edge performance and error monitoring tools. As a Senior Machine Learning Engineer on our AI/ML team, you will play a crucial role in building the core infrastructure used to develop, evaluate, deploy, and iterate on machine learning models and pipelines at...
-
Senior Machine Learning Engineer, Identity
1 month ago
San Francisco, United States Cash App Full timeJob DescriptionJob DescriptionCompany 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,...
-
Senior Machine Learning Engineer, Identity
1 month ago
San Francisco, United States Cash App Full timeJob DescriptionJob DescriptionCompany 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,...
-
Machine Learning Engineer
7 days ago
San Francisco, California, United States DoorDash USA Full time{"h1": "Machine Learning Engineer - Forecasting Platform", "p": "At DoorDash USA, we're building the world's most reliable on-demand logistics engine for delivery. We're seeking a talented Machine Learning Engineer to help us improve the operational efficiency of our three-sided marketplace of consumers, merchants, and dashers. The Forecasting Platform...
-
Senior Machine Learning Engineer
2 weeks ago
San Francisco, California, United States Scenset Inc. Full timeAbout the RoleWe're seeking a talented Senior Machine Learning/AI Engineer to apply their expertise across our tech stack, including data processing, model development, infrastructure, and deployment. You'll be immersed in cutting-edge ML and AI applications that power our innovative solutions.As a key member of our product and engineering teams, you'll...
-
San Francisco, California, United States Databricks Inc. Full timeAbout the RoleWe are seeking an experienced Machine Learning Platform Engineer to join our team at Databricks Inc. as a Senior Machine Learning Engineer, Platform San Francisco, California. This is a unique opportunity to contribute to the development of our generative AI platform, which is a critical component of our data and AI platform.Key...
-
Senior Machine Learning Engineer
1 week ago
San Jose, California, United States Marketo, an Adobe Company Full timeAbout Our CompanyAt Marketo, an Adobe Company, we're passionate about empowering businesses to create exceptional digital experiences. We're committed to innovation and excellence, and we're looking for talented individuals to join our team.The OpportunityWe're seeking a highly skilled Senior Machine Learning Engineer to lead the development of our computer...
-
Senior Software Engineer, ML Platform
3 weeks ago
San Francisco, United States Block Full timeJob DescriptionJob DescriptionCompany DescriptionBlock 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....
-
Senior Machine Learning Engineer
3 weeks ago
San Francisco, California, United States GlaxoSmithKline Full timeAbout the RoleWe are seeking a highly accomplished Senior Machine Learning Engineer to join our team at GlaxoSmithKline, a global biopharma company that unites science, technology, and talent to get ahead of disease together.The successful candidate will work with foundational genomics models and multiomics datasets to model aspects of RNA biology and inform...
-
Machine Learning Engineer
1 week ago
San Francisco, California, United States Strava Full timeAbout This RoleWe are seeking a highly skilled Machine Learning Engineer to join our AI and Machine Learning team at Strava. As a key member of our team, you will be responsible for building and deploying machine learning models that power key product experiences on our platform.The ideal candidate will have a strong background in machine learning, data...
-
Machine Learning Platform Director
7 days ago
San Francisco, California, United States DoorDash USA Full timeAbout the RoleWe're seeking a seasoned Engineering Leader with a strong background in Machine Learning to join our team at DoorDash USA. As a key member of our Data + AI Platform, you will be responsible for driving the vision and strategy for our Machine Learning Platform, ensuring it reaches its full potential.Key ResponsibilitiesDrive Vision & Strategy:...
-
Machine Learning Engineer
4 months ago
San Francisco, United States Acceler8 Talent Full timeSenior ML Engineer Position – San Francisco (Hybrid/Flexible)Introduction:We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct dataset issues, enhancing the reliability and performance of AI models across various...
-
Machine Learning Engineer
4 months ago
San Francisco, United States Acceler8 Talent Full timeSenior ML Engineer Position – San Francisco (Hybrid/Flexible)Introduction:We are seeking a talented Senior ML Engineer to join our team and lead pioneering projects in data-centric AI. This role offers the chance to develop cutting-edge tools that diagnose and correct dataset issues, enhancing the reliability and performance of AI models across various...
-
Engineering Manager
2 days ago
San Francisco, California, United States Harnham Full timeEngineering Manager - ML PlatformAt Harnham, we're seeking an experienced Engineering Manager to lead our Machine Learning Platform team. As a key member of our engineering organization, you will be responsible for building and deploying end-to-end machine learning models using Generative AI and LLMs.Key Responsibilities:Collaborate with data scientists to...
-
Senior Machine Learning Engineer
1 month ago
San Francisco, United States NLP PEOPLE Full timeYears from now, history will look back at this moment as a landmark for the human race-the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?If you're one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider...
-
Senior Machine Learning Engineer
1 month ago
San Francisco, United States Recruiting From Scratch Full timeWho is Recruiting from Scratch : Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. About Us We are building the next-generation Automation AI platform to automate repetitive processes. It...
-
Machine Learning Engineer, Forecast Platform
4 months ago
San Francisco, United States DoorDash Full timeAbout the RoleAs a Machine Learning Engineer, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop ML models that impact millions of users across our three audiences and tackle our most challenging business problems. You will work with other engineers, analysts, and product managers to develop and iterate...
-
Senior Machine Learning Software Engineer
2 days ago
San Francisco, CA, United States WiMLDS Inc Full timeThe Wikimedia Foundation is looking for a Senior Machine Learning Engineer to join a small team spread across UTC -5 to UTC +3 (Eastern Americas, Europe, and Africa) and will report to the Machine Learning Engineering Manager, Ilias Sarantopoulos. As a Senior Machine Learning Engineer, you will be responsible for planning, developing, training, documenting,...
Senior Machine Learning Platform Engineer, ML Foundations
4 months ago
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
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $198,000 - USD $297,000
Zone B: USD $188,100 - USD $282,100
Zone C: USD $178,200 - USD $267,400
Zone D: USD $168,300 - USD $252,500
To find a location’s zone designation, please refer to this . If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance) Health Savings Account and Flexible Spending Account Retirement Plans including company match Employee Stock Purchase Program Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leave Paid time off (including 12 paid holidays) Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resources Paid Life insurance, AD&D, and disability benefitsThese benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our .
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We’ve noticed a rise in recruiting impersonations across the industry, where individuals are sending fake job offer emails. Contact from any of our recruiters or employees will always come from an email address ending with @, @, @, or , @.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
While there is no specific deadline to apply for this role, on average, open roles are posted for 70 days before being filled by a successful candidate.
