出海雷达

高级/资深机器学习工程师

Senior/Staff Machine Learning Engineer

AI开发工程限定地区(需当地身份)
公司StackAdapt
薪资170,400 - 234,300/年 CAD
工作地点Canada
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间13 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

StackAdapt 是一家领先的科技公司,帮助营销人员精准地触达、互动并转化受众。每秒处理 4650 亿次自动化优化,由人工智能驱动的 StackAdapt 营销平台无缝连接品牌营销与效果营销,以推动整个客户旅程中的可衡量成果。最具远见的营销人员选择 StackAdapt,在程序化广告和营销渠道上打造高影响力活动。

我们正在 Data Science 团队中招聘高级和资深机器学习工程师!该团队致力于解决 StackAdapt 数字广告平台上的复杂问题。你将直接与我们的数据科学家、机器学习工程师、工程团队以及 CTO/联合创始人合作,构建数据管道和广告优化模型。面对每秒处理数百万请求的数据库,数据和问题层出不穷。

了解更多关于我们的 Data Science 团队:

了解更多关于我们的团队文化:

观看我们在 Amazon Tech Talks 上的演讲:

StackAdapt 是一家以远程办公为优先的公司,此职位面向加拿大任何地区的候选人开放。

你将负责:

  • 设计模块化且可扩展的实时数据管道,以处理海量数据集
  • 提出、实现并协调大数据 ML 管道的架构改进
  • 在低延迟环境中理解和实现自定义 ML 算法
  • 在数千个 ML 模型上同时运行训练、推理和监控的微服务架构

你将带来的能力:

  • 能够将模糊定义的任务分解为可执行的步骤
  • 能够独立完成或协调他人完成复杂项目
  • 深入理解算法和软件设计、并发和数据结构
  • 有实现概率或机器学习算法的经验
  • 有设计可扩展分布式系统的经验
  • 来自知名计算机科学项目的高 GPA,或在竞争激烈、创新性强的科技公司有同等经验
  • 喜欢在友好协作的环境中工作
查看英文原文

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

We're looking to add Senior and Staff Machine Learning Engineers to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

Want to learn more about our Data Science Team:

Learn more about our team culture here:

Watch our talk at Amazon Tech Talks:

StackAdapt is a Remote First company, and we are open to candidates located anywhere in Canada for this position.

What you'll be doing:

  • Design modular and scalable real time data pipelines to handle huge datasets
  • Suggest, implement, and coordinate architectural improvements for big data ML pipelines
  • Understand and implement custom ML algorithms in a low latency environment
  • Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently

What you'll bring to the table:

  • Have the ability to take an ambiguously defined task, and break it down into actionable steps
  • Ability to follow through complex projects to completion, both by independent implementation and by coordinating others
  • Have deep understanding of algorithm and software design, concurrency, and data structures
  • Experience in implementing probabilistic or machine learning algorithms
  • Experience in designing scalable distributed systems
  • A high GPA from a well-respected Computer Science program or equivalent experience in a competitive, innovative, tech company
  • Enjoy working in a friendly, collaborative environment with others

The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

  • The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.
  • Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

Base Salary Band

$170,400—$234,300 CAD

StackAdapter's Enjoy:

  • Highly competitive salary
  • Retirement/ 401K/ Pension Savings globally
  • Competitive Paid time off packages including birthday's off!
  • Access to a comprehensive mental health care program
  • Health benefits from day one of employment
  • Work from home reimbursements
  • Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  • Robust training and onboarding program
  • Coverage and support of personal development initiatives (conferences, courses, books etc)
  • Access to StackAdapt programmatic courses and certifications to support continuous learning
  • An awesome parental leave program
  • A friendly, welcoming, and supportive culture
  • Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt.

StackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:

G2 Top Software for 2026
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards

To learn more about our privacy practices, please see our Privacy Policy.

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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