Hightouch
Build an intelligence layer using machine learning to help companies personalize messages, automate experiments, predict customer behavior, and optimize marketing spend. Collaborate on various ML projects and infrastructure at Hightouch.
Dropbox
Lead data strategy, architecture, and governance to support company growth and innovation. Collaborate across teams to deliver scalable, efficient data solutions and insights.
Testlio
Join Testlio as Principal Software Engineer & shape the future of testing with AI
G-P
Principal Software Engineer at G-P: Drive technical evolution of SaaS cloud platform, collaborate with cross-functional teams, and develop scalable enterprise-level services.
Rackspace
AWS Migration Engineer - Lead cloud migration projects, optimize infrastructure, and implement secure network architectures.
Presto
iOS Software Engineer at Flipster: Develop Apple platform software, collaborate remotely, and build high-performance trading apps.
Goodnotes
Lead engineer at Goodnotes, building scalable solutions with Swift, SwiftUI, and React.
Avara
Lead iOS SDK development for Avara's blockchain products, focusing on fintech and crypto applications. Collaborate with a global team to build impactful solutions in the crypto space.
Emburse
DevOps Engineer for software integration, automation, and deployment
WorkOS
WorkOS seeks a Developer Experience Engineer to enhance SDKs, maintain OSS projects, create example apps, build developer tools, gather feedback, influence DX decisions, shape the roadmap, recruit team members, and represent the team publicly. Join us in making WorkOS the best developer experience platform.
Oddball
QA Accessibility Engineer for pivotal Federal program with experience in Section 508 compliance and WCAG guidelines
Binance
Join Binance as an Offchain Transaction Monitoring Analyst and ensure the integrity and security of transactions on their platform.
MariaDB plc
Senior Support Engineer at MariaDB plc - Expert-level technical support services to worldwide customers
Nutrafol
Data Engineer at Nutrafol: Develop impactful data features, collaborate with cross-functional teams, and drive business decisions.
Nutrafol
Transform business requirements into technical solutions, enhance database design, and support data-driven decisions at Nutrafol as a Data Engineer. Work with cross-functional teams to gather insights and ensure high-quality data for strategic initiatives.
ClassDojo
Enhance and maintain ClassDojo's infrastructure; collaborate on technical improvements and support the platform used by millions of educators and students globally.
Shippo
Backend Software Engineer II/III at Shippo: Develop new features, build infrastructure, and maintain current services for address validation, tracking, and pickups.
Nextech
Design and develop next-gen software for Nextech's product suite using C#, Angular, and SQL
Canonical
Engage with open-source communities as a Developer Relations Engineer at Canonical, fostering innovation and collaboration while leveraging Linux expertise.
Canonical
Join Canonical as a Developer Relations Engineer to engage with open-source communities, contribute to product development, and foster innovation while enjoying benefits like a distributed work environment, learning budget, and travel opportunities.
Hightouch
Hightouch is seeking a Machine Learning Engineer to expand their data activation products with an intelligence layer. The role involves personalization, automated experimentation, predictive audiences, content generation, and budget optimization. As part of the team, you will work on customer research, problem definition, predictive modeling, machine learning infrastructure, and partner with customers. We are looking for motivated individuals interested in these challenges. This is a senior role with a salary range of $200k to $260k USD per year.
We’re looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.
Some of the problems we’ll be working on include:
Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.
As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $200,000 - $260,000 USD per year, which is location independent in accordance with our remote-first policy.
Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.
Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
System Design Screen [45m]: Designing a data processing feature end-to-end.
Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.
System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
