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Ml Platform Engineer Jobs

832 active opportunities ยท Updated for October 2026

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Explore current ml platform engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

M
Mongodb
๐Ÿ“ British Columbiaโ€ข Full-timeโ€ข From C$137K/yr
1mo ago

Our Database Experience (DBX) Team A great MongoDB experience starts with great tools. The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users. Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well. For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads. You might be right for this role if you... Have substantial experience writing high-quality software in Python Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements Communicate well, internally and externally, both verbally and in writing Enjoy collaborating with teammates, and mentoring junior engineers and interns Are self-motivated, organized, and have strong time management skills You'll be on the team responsible for... Developing and supporting the MongoDB Python drivers and subsidiary libraries ( PyMongo , Django Mon

pythonmongodbaws
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M
Mongodb
๐Ÿ“ Seoulโ€ข Full-time
1mo ago

About the role ์šฐ๋ฆฌ์˜ ํ”Œ๋žซํผ์— ๋Œ€ํ•œ ๊ฐ•๋ ฅํ•œ ๊ธฐ์ˆ ์  ์ง€์ง€์™€ ๊ณ ๊ฐ์˜ ์š”๊ตฌ์‚ฌํ•ญ์„ ๊ธฐ๋ฐ˜์œผ๋กœ MongoDB๊ฐ€ ์„ฑ์žฅํ•  ์ˆ˜ ์žˆ๋„๋ก ๋•๋Š” ๊ธฐ์ˆ ์— ์—ด์ •์„ ๊ฐ€์ง„ ์ธ์žฌ๋“ค์„ ์ €ํฌ์˜ ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ์กฐ์ง์— ๋ชจ์‹ญ๋‹ˆ๋‹ค. MongoDB ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ์†”๋ฃจ์…˜ ์•„ํ‚คํ…ํŠธ๋Š” ๊ณ ๊ฐ ๋ฐ ์‚ฌ์šฉ์ž๋“ค์ด MongoDB ๋ฐ์ดํ„ฐ ํ”Œ๋žซํผ์„ ํ™œ์šฉํ•ด ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๊ณ  ํ™•์žฅ ๊ฐ€๋Šฅํ•œ ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•˜๊ณ  ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ๋„๋ก ์•ˆ๋‚ดํ•ฉ๋‹ˆ๋‹ค. ์ด ํŒ€์€ ์ˆ™๋ จ๋œ ๊ธฐ์ˆ  ์˜์—… ์ „๋ฌธ๊ฐ€, ์†Œํ”„ํŠธ์›จ์–ด ์•„ํ‚คํ…ํŠธ, ๊ธฐ์—…๊ฐ€, ๊ทธ๋ฆฌ๊ณ  ๊ฐœ๋ฐœ์ž๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์œผ๋ฉฐ, ๊ณ ๊ฐ์˜ ์„ฑ๊ณต์„ ์ง์ ‘์ ์œผ๋กœ ์ฑ…์ž„์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์—๋Š” ์†Œํ”„ํŠธ์›จ์–ด ์„ค๊ณ„, ๋ฐฐํฌ, ์šด์˜ ๋“ฑ์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค. ์ด ์ง๋ฌด๋Š” ์˜์—… ์ „๋ฌธ๊ฐ€๋“ค๊ณผ ๊ธด๋ฐ€ํžˆ ํ˜‘๋ ฅํ•˜๋ฉฐ, MongoDB ์†”๋ฃจ์…˜์„ ํ™œ์šฉํ•ด ๊ณ ๊ฐ์˜ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ , ๊ณ„์•ฝ ์„ฑ์‚ฌ ๋ฐ ๋น„์ฆˆ๋‹ˆ์Šค ๊ฐœ๋ฐœ์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค. ์Šคํƒ€ํŠธ์—…๋ถ€ํ„ฐ ์„ธ๊ณ„ ์ตœ๋Œ€ ๊ทœ๋ชจ์˜ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ IT ์กฐ์ง์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๋‹ค์–‘ํ•œ ์‚ฌ์šฉ์ž๋“ค์—๊ฒŒ ์‹ ๋ขฐ๋ฐ›๋Š” ์กฐ์–ธ์ž๊ฐ€ ๋˜์–ด์ฃผ์‹ค ๋ถ„์„ ์ฐพ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์šฐ๋ฆฌ์˜ ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ์—…๋ฌด ๋ฐฉ์นจ์— ๋”ฐ๋ผ ๋Œ€ํ•œ๋ฏผ๊ตญ ์„œ์šธ ์˜คํ”ผ์Šค๋กœ ์ถœํ‡ด๊ทผ์ด ๊ฐ€๋Šฅํ•˜์‹  ๋ถ„์„ ๋ชจ์‹œ๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค. As an ideal candidate, you will have 12๋…„ ์ด์ƒ์˜ ๊ณ ๊ฐ ๋Œ€๋ฉด ์—ญํ•  ๊ด€๋ จ ๊ฒฝํ—˜ (3๋…„ ์ด์ƒ์˜ ์—”ํ„ฐํ”„๋ผ์ด์ฆˆ ์†Œํ”„ํŠธ์›จ์–ด ํ”„๋ฆฌ์„ธ์ผ์ฆˆ ๊ฒฝํ—˜ ์šฐ๋Œ€) 3๋…„ ์ด์ƒ์˜ Python, Node.js, SQL๊ณผ ๊ฐ™์€ ํ˜„๋Œ€์ ์ธ ์Šคํฌ๋ฆฝํŒ… ์–ธ์–ด ๋˜๋Š” C/C++, Java, C# ๋“ฑ ์ธ๊ธฐ ์žˆ๋Š” ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์–ธ์–ด๋ฅผ ์ „๋ฌธ์ ์œผ๋กœ ๋‹ค๋ฃฌ ๊ฒฝํ—˜ ํด๋ผ์šฐ๋“œ ๋ฐ ์˜จํ”„๋ ˆ๋ฏธ์Šค์—์„œ ํ™•์žฅ ๊ฐ€๋Šฅํ•œ ๊ณ ๊ฐ€์šฉ์„ฑ ๋ถ„์‚ฐ ์‹œ์Šคํ…œ ์„ค๊ณ„ ๊ฒฝํ—˜ ๊ธฐ์กด ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๋ณต์žกํ•œ ์•„ํ‚คํ…์ฒ˜๋ฅผ ๊ฒ€ํ† ํ•˜๊ณ  ๊ธฐ์ˆ  ํ™œ์šฉ์„ ํ†ตํ•ด ๊ฐœ์„  ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•œ ๊ฒฝํ—˜ ๋›ฐ์–ด๋‚œ ๋ฐœํ‘œ ๋ฐ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋Šฅ๋ ฅ, ๊ทธ๋ฆฌ๊ณ  ๊ธฐ์ˆ  ๋ฐ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฆฌ๋”์‹ญ๊ณผ ๋ช…ํ™•ํ•˜๊ณ  ์„ค๋“๋ ฅ ์žˆ๊ฒŒ ์†Œํ†ตํ•  ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ ์˜์—… ํŒ€๊ณผ์˜ ์ „๋žต์  ํ˜‘์—… ๋ฐ ๋‹ค๋ฐฉ๋ฉด์  ๊ณ ๊ฐ ์ „๋žต ์ˆ˜๋ฆฝ ๋Šฅ๋ ฅ ์ตœ๋Œ€ 25%์˜ ์ถœ์žฅ์ด ๊ฐ€๋Šฅํ•˜์‹  ๋ถ„ ํ•™์‚ฌ ํ•™์œ„ ๋˜๋Š” ์ด์— ์ƒ์‘ํ•˜๋Š” ๊ฒฝ๋ ฅ You may also have ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ํŒ๋งค ๋ฐ ์ฃผ์š” ํด๋ผ์šฐ๋“œ ๊ณต๊ธ‰์ž์™€์˜ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜ ๋ฐฐํฌ ๊ฒฝํ—˜ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ํ”„๋กœ๊ทธ๋ž˜๋ฐ ๋ฐ ๋ฐ์ดํ„ฐ ๋ชจ๋ธ ๊ฒฝํ—˜ ๋ฐ์ดํ„ฐ ์—”์ง€๋‹ˆ์–ด๋ง ๋˜๋Š” AI/ML ํ”„๋กœ์ ํŠธ ์ฐธ์—ฌ ๊ฒฝํ—˜ ๊ธฐ์กด ์‹œ์Šคํ…œ์„ ํ˜„๋Œ€์ ์ด๊ณ  ํ™•์žฅ ๊ฐ€๋Šฅํ•˜๋ฉฐ ํšจ์œจ์ ์ธ ๊ธฐ์ˆ  ์Šคํƒ์œผ๋กœ ์ „ํ™˜ํ•œ ๊ฒฝํ—˜ MEDDPICC/Command of the Message์™€ ๊ฐ™์€ ์ธ๊ธฐ ์žˆ๋Š” ์„ธ์ผ์ฆˆ ๋ฐฉ๋ฒ•๋ก /ํ”„๋ ˆ์ž„์›Œํฌ ์ดํ•ด MongoDB ๋ฐ ํด๋ผ์šฐ๋“œ ๊ณต๊ธ‰์ž ์ž๊ฒฉ์ฆ ๋ณด์œ  What you do at MongoDB ์ด ์ง๋ฌด๋Š” ์ƒํ™ฉ์ด๋‚˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‹ฌ๋„ ์žˆ๊ฒŒ ๋ถ„์„ํ•ด์•ผ ํ•˜๋Š” ๋ณต์žกํ•œ ๊ธฐํšŒ๋ฅผ ๋‹ค๋ฃน๋‹ˆ๋‹ค. ์„ค๊ณ„ ๋ฐ ์•„ํ‚คํ…์ฒ˜: ๋Œ€๊ทœ๋ชจ ์†Œํ”„ํŠธ์›จ์–ด ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•ด ํ™•์žฅ ๊ฐ€๋Šฅํ•˜๊ณ  ์„ฑ๋Šฅ์ด ๋›ฐ์–ด๋‚œ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜, ์‹œ์Šคํ…œ, ์ธํ”„๋ผ ์„ค๊ณ„ ๊ณ ๊ฐ ์กฐ์–ธ ๋ฐ ๊ฐ€์น˜ ์ „๋‹ฌ: MongoDB์˜ ์•„ํ‚คํ…์ฒ˜ ํŒจํ„ด๊ณผ ์ตœ์ ํ™” ์ „๋žต์„ ๊ณ ๊ฐ์—๊ฒŒ ์•ˆ๋‚ดํ•˜๊ณ , ๊ด€๋ จ ์ดํ•ด๊ด€๊ณ„์ž์—๊ฒŒ ๋น„์ฆˆ๋‹ˆ์Šค ๊ฐ€์น˜๋ฅผ ๋ช…ํ™•ํžˆ ์ „๋‹ฌ ์˜์—… ํ˜‘์—…: ๊ธฐ์ˆ ์  ๋ฐœ๊ฒฌ, ๋ฐ๋ชจ, ๊ฐ€์น˜ ๊ฒ€์ฆ, ํ”„๋ ˆ์  ํ…Œ์ด์…˜ ๋“ฑ ์˜์—… ๊ณผ์ •์—์„œ์˜ ๊ธฐ์ˆ ์  ๋ถ€๋ถ„ ๋‹ด๋‹น ์ˆ˜์š” ์ฐฝ์ถœ: ์‚ฐ์—… ํ–‰์‚ฌ ๋ฐ ๊ณ ๊ฐ ๊ธฐ๋ฐ˜ ๋งˆ์ผ€ํŒ… ์ด๋ฒคํŠธ์— ์ฐธ์—ฌํ•˜์—ฌ ๊ธฐ์ˆ ์  ์ด๋‹ˆ์…”ํ‹ฐ๋ธŒ๋ฅผ ํ†ตํ•œ ์ˆ˜์š” ์ฐฝ์ถœ ๊ณ ๊ฐ ์„ฑ๊ณต: ๊ฐ•๋ ฅํ•œ ๊ณ ๊ฐ ๊ด€๊ณ„ ๊ตฌ์ถ•, ๊ณ ๊ฐ ์ฑ”ํ”ผ์–ธ ์œก์„ฑ, ์„ฑ๊ณต ๋ฐ ๋งŒ์กฑ ๋ณด์žฅ ํ˜์‹  ๋ฐ ๊ฐœ์„ : ํ•„๋“œ ํ”ผ๋“œ๋ฐฑ์„ ์ œํ’ˆ ํŒ€์— ์ „๋‹ฌํ•˜๋Š” ๋“ฑ MongoDB ์†”๋ฃจ์…˜ ๋ฐ ํ”„๋กœ์„ธ์Šค ํ˜์‹  ๋ฐ ๊ฐœ์„  ๊ต์œก ๋ฐ ๊ฐœ๋ฐœ: MongoDB ์ œํ’ˆ๊ตฐ ๋ฐ ์‚ฐ์—… ๋™ํ–ฅ์— ๋Œ€ํ•œ ์ง€์†์ ์ธ ํ•™์Šต๊ณผ ์ž๊ธฐ ๊ฐœ๋ฐœ What you will learn MongoDB ์ œํ’ˆ๊ตฐ ํ•ต์‹ฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ์„œ๋ฒ„: MongoDB ํ•ต์‹ฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ๊ธฐ๋ณธ ๋ฐ ๊ณ ๊ธ‰ ๊ธฐ๋Šฅ ์ˆ™๋‹ฌ Atlas ๋ฐ ๊ณ ๊ธ‰ ์„œ๋น„์Šค: Atlas(์™„์ „ ๊ด€๋ฆฌํ˜• ํด๋ผ์šฐ๋“œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ์„œ๋น„์Šค), Atlas ์ŠคํŠธ๋ฆผ ์ฒ˜๋ฆฌ, Atlas ๋ฐ์ดํ„ฐ ๋ ˆ์ดํฌ, Atlas ์ „์ฒด ํ…์ŠคํŠธ ๊ฒ€์ƒ‰, Atlas ๋ฒกํ„ฐ ๊ฒ€์ƒ‰ ๋ฐ ์ฐจํŠธ์— ๋Œ€ํ•œ ์ „๋ฌธ์„ฑ ํ™•๋ณด Relational Migrator: ๊ด€๊ณ„ํ˜• ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์˜ ์›ํ™œํ•œ ๋งˆ์ด๊ทธ๋ ˆ์ด์…˜ ํˆด ์‹œ์žฅ ๊ด€๋ จ ๊ธฐ์ˆ  ํ•˜์ดํผ์Šค์ผ€์ผ๋Ÿฌ ์ƒํƒœ๊ณ„: ํ•˜์ดํผ์Šค์ผ€์ผ๋Ÿฌ ํ”Œ๋žซํผ์˜ ํด๋ผ์šฐ๋“œ ์„œ๋น„์Šค๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ์‹œ์Šคํ…œ ์„ค๊ณ„ ์ „๋ฌธ์„ฑ ํ™•๋ณด ๋ณด์™„ ๊ธฐ์ˆ : Apache Kafka

pythonjavanode.js
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O
Okta
๐Ÿ“ Washingtonโ€ข Full-timeโ€ข From $236K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Technology, Data and Intelligence (TDI) Team The Technology, Data and Intelligence team is on a mission to accelerate Oktaโ€™s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. The Opportunity The Architect, Finance and Legal Technologies will define and deliver the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence. This role will combine deep technical expertise with innovative thinking to modernize and optimize core enterprise systems โ€” including NetSuite or Oracle (ERP) , Conga , Anaplan , and Xactly . The successful candidate will leverage AI, machine learning (ML) , NLP , and intelligent automation to reimagine traditional financial and legal processes/systems, enabling predictive insights, streamlined operations, and smarter compliance. What youโ€™ll be doing Enterprise Solution Architecture: Define the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives. Lead the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise. Develop and maintain a multi-year roadmap for modernization across ERP, FP&A, Lega

awsazuregcp
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O
Okta
๐Ÿ“ Washingtonโ€ข Full-timeโ€ข From $240K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Director of Marketing Analytics, you'll lead a team that transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for paid media, digital, partners, and field campaignsโ€”including attribution modeling, ROI optimization, and emerging AI capabilities. What You'll Do Lead and develop a team of analysts; establish best practices and build team capability Own attribution modeling and full-funnel measurement across all marketing channels Take the insights and translate data into actionable insights for marketing leaders across the business. Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams Implement AI/ML capabilities for predictive modeling and automated insights Support marketing experiments with rigorous testing and statistical validation Create forecasts and scenario models to inform annual budget planning Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs Partner with Marketing Data Operations team to maintain data quality across martech systems Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS 5+ years managing and developing analytics

pythonsqlaws
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I
Instacart
๐Ÿ“ United States - Remoteโ€ข Full-timeโ€ข Remoteโ€ข From $207K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and weโ€™re building the team to help push our shopping cart forward. If youโ€™re ready to do the best work of your life, come join our table. Instacart is a Flex First team Thereโ€™s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best workโ€”whether itโ€™s from home, an office, or your favorite coffee shopโ€”while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview: We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space โ€” including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale. The Logistics & ML group is responsible for the intelligence and execution behind Instacartโ€™s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high qu

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Instacart
๐Ÿ“ Canada - Remote (ON, BCโ€ข Full-timeโ€ข Remoteโ€ข From C$168K/yr
1mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and weโ€™re building the team to help push our shopping cart forward. If youโ€™re ready to do the best work of your life, come join our table. Instacart is a Flex First team Thereโ€™s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best workโ€”whether itโ€™s from home, an office, or your favorite coffee shopโ€”while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview This role challenges traditional approaches to digital shopping by improving backend systems that power a seamless user journey. You will lead efforts to enhance content discoverability and purchase processes, helping to perfect the interaction between user desires and our vast product offerings. The Senior Software Engineer will focus on enhancing the user experience by developing robust backend architectures that support advanced recommendation and personalization systems. In close collaboration with ML engineers, product teams, and data scientists, you will lead the innovation of our backend services, enabling sophisticated, data-driven features that adapt to our customers' shopping behaviors. The Core Experience teams are dedicated to creating engaging and straightforward shopping experiences. You will be part of a team that is at the heart of product

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Coinbase
๐Ÿ“ - USAโ€ข Full-timeโ€ข Remote
1mo ago

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, itโ€™s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called โ€œsurges.โ€ learn more about working at Coinbase . Senior Software Engineer (EAA) The CEE Surfaces team, part of Coinbase's Customer Experience & Engagement org within EAA, owns the customer- and agent-facing support experiences across Help Center, chat, in-product entry points, and agent tools. We're hiring a Senior Software Engineer to build and scale high-impact CX journeys spanning React/TypeScript frontends, Go backend services, and integrations with the CEE Foundations and Intelligence layers. You'll ship reliable, measurable features that improve automation, resolution quality, and customer satisfaction across every support surface. What you'll do: Build end-to-end full-stack features across React/TypeScript frontends and Go backend services for Help Center, chat, and agent-facing workflows. Partner with Product, Design, CX Ops, and peer engineering teams to turn high-volume customer problems into intuitive self-serve and assisted-support experiences. Own APIs, service integrations, and UI flows that connect Surfaces with CEE Foundations and Intelligence capabilities, including routing, procedures, data-plane integrations, and evaluation systems. Drive CX outcomes through experimentation, instrumentation, and iterative delivery, using metrics such as containment, AtR, CSAT, and escalation rates. Lead integration of AI/ML and vendor capabilities into customer and agent experiences with appropriate guardrail

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Lyft
๐Ÿ“ Torontoโ€ข Full-timeโ€ข From C$1.3M/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on qualityโ€“cost tradeoffs, empowering leadership to balance service quality, coverage,

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Airbnb
๐Ÿ“ - USAโ€ข Full-timeโ€ข Remoteโ€ข From $151K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that missionโ€”delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey. As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced causal inference analysis for Community Support. The Difference You Will Make: We're looking for a motivated and talented Data Scientist with strong causal inference expertise to join the Community Support Data Science team. You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity to drive clarity in complex problem spaces. Youโ€™ll work on high-impact projects like: Design rigorous experiments & quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions. Build causal ML models to optimize Make Goods budget allocation and maximize business impact. Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects. Deliver strategic insights on

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Airbnb
๐Ÿ“ San Franciscoโ€ข Full-timeโ€ข From $168K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Recruiting, People Analytics, Finance, Legal and Talent. The Difference You Will Make: We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, tools, and data infrastructure, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Technology organization, supporting VP and Director level leaders, Talent Directors, and People Partners across Engineering, Infrastructure, ML/AI, and Data Science. Act as the primary point of contact for Talent Directors and senior tech leaders on new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests. Own compensation cycle execution f

pythonsqlmachine learning
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Airbnb
๐Ÿ“ United Statesโ€ข Full-timeโ€ข From $156K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Community Support org handles tens of millions of interactions yearly, engaging with Airbnb customers by phone, messaging, chat, or social media channels. The group handles hundreds of issues across categories including Cancellations, Account Issues, Refunds, Payments, Reservations, Extenuating Circumstances, Booking & Listing issues, Safety & Claims. The organization is globally distributed with offices in San Francisco, Dublin, Montreal, Seattle, Singapore, Manila, Gurgaon and an extensive partner network serving all regions. The Difference You Will Make: In this role you will own the strategic design and continuous evolution of risk frameworks, the risk registry, and executive risk narratives for Community Support โ€” translating investigative findings, AI/ML model outputs, operational signals, and emerging threats into decisions and actions that protect Airbnb. A defining element of this role is your close partnership with the Insider Threat program. Together, you will form a complementary unit: you will ensure that investigative outcomes are contextualized within the broader risk ecosystem โ€” informing risk appetite decisions, shaping detection strategy, and driving remediation accountability. You will co-own escalation frameworks, jointly challenge detection model effectiveness, and ensure that the feedback loop between investigations, risk governance, and AI-driven detection is robust and continuously improving. Beyond analysis and governance design, you will serve as the program manager for systemic root cause resolution โ€” ensuring that when investigations, incident

A
Airbnb
๐Ÿ“ United Statesโ€ข Full-timeโ€ข From $180K/yr
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Guest Engagement AA sits within Marketing Analytics and serves as the analytical backbone for Airbnb's lifecycle marketing programs โ€” the email, push, and in-app communications that reach hundreds of millions of guests across their entire journey. You'll partner closely with Guest Engagement Marketing, MarTech Data Science, and Strategic Finance to drive measurable booking impact through experimentation and insights. The Difference You Will Make You will be the clear analytics owner of Airbnb's guest lifecycle marketing domain โ€” covering abandon journeys, demand generation, onboarding, upsell, and more. This role is expected to drive significant incremental bookings in 2026 by setting the analytics strategy, designing rigorous experiments, and surfacing proactive insights across 30+ active programs. A Typical Day Own the analytics roadmap for Guest Engagement โ€” define what to measure, what to test, and where the biggest opportunities lie across the full guest lifecycle. Specific projects and prioritization decisions should exist because of your recommendations. Design and analyze experiments at scale across abandon journeys, demand gen ML model rollouts, and placement-level A/B tests. Develop measurement frameworks (holdouts, proxy metrics, annualized impact models) to accurately attribute cumulative program impact. Surface proactive insights that go beyond reporting โ€” user segmentation, funnel analysis, fatigue signals, channel optimization โ€” and translate them into strategic recommendations for Director-level marketing leaders. Build scalable, self-serve reporting (

T
Twitch
๐Ÿ“ Irvineโ€ข Full-timeโ€ข From $151.2K/yr
1mo ago

About Us Twitch is the worldโ€™s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. Weโ€™re about community, inside and out. Youโ€™ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. Weโ€™re on a quest to empower live communities, so if this sounds good to you, see what weโ€™re up to on LinkedIn and X , and discover the projects weโ€™re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there. Our team is based in San Francisco, CA but you can work from San Francisco, CA; New York, NY; Irvine, CA; Los Angeles, CA or Seattle, WA. You Will: Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it. Define what viewers want fro

T
Twitch
๐Ÿ“ San Franciscoโ€ข Full-timeโ€ข From $151.2K/yr
1mo ago

About Us Twitch is the worldโ€™s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. Weโ€™re about community, inside and out. Youโ€™ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. Weโ€™re on a quest to empower live communities, so if this sounds good to you, see what weโ€™re up to on LinkedIn and X , and discover the projects weโ€™re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there. Our team is based in San Francisco, CA but you can work from San Francisco, CA; New York, NY; Irvine, CA; Los Angeles, CA or Seattle, WA. You Will: Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it. Define what viewers want fro

T
Twitch
๐Ÿ“ Seattleโ€ข Full-timeโ€ข From $151.2K/yr
1mo ago

About Us Twitch is the worldโ€™s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. Weโ€™re about community, inside and out. Youโ€™ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. Weโ€™re on a quest to empower live communities, so if this sounds good to you, see what weโ€™re up to on LinkedIn and X , and discover the projects weโ€™re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Community team builds products that allow creators to build and grow communities on Twitch. Our products span across creator and viewer journeys. As a Senior Product Manager on the Discovery team, you will own the experience that helps viewers find creators worth coming back for, across search, browse, and serendipitous discovery in the live feed. Your work will focus on helping viewers form their first creator connection and every connection after it, because that bond is what turns an occasional visit into a daily habit. You will be the voice of the viewer for recommendations: defining what viewers want, surfacing what they are not seeing but should, owning the discovery roadmap, and partnering with our ML teams to turn those needs into better ranking and relevance. You will define and execute a product strategy grounded in customer needs, working closely with applied science, design, and engineering to ship and measure your way there. Our team is based in San Francisco, CA but you can work from San Francisco, CA; New York, NY; Irvine, CA; Los Angeles, CA or Seattle, WA. You Will: Own the discovery experience across search, browse, and the live feed, helping viewers find creators worth returning for and form their first connection and every one after it. Define what viewers want fro

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