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.
Vercel
Design and implement scalable IAM solutions using AWS, TypeScript, Node.js, and industry standards like OAuth, OIDC, SAML. Collaborate with teams to deliver secure, reliable services for Vercel's Frontend Cloud.
Nethermind
Extract on-chain data from PoS networks, design scalable blockchain indexed platforms, assist in data analysis, build cloud infrastructure, interact with product teams to deliver applications. Requires expertise in blockchain technologies, programming languages like Python/JavaScript/Golang, distributed systems, APIs, and cloud infrastructure.
Monarch Money
Senior Backend Engineer at Monarch: Design robust backend infrastructure, collaborate with teams, and mentor peers in a fully-remote company.
Cargo.one
Cloud Infrastructure Engineer at cargo.one: Collaborate with diverse stakeholders to contribute to cloud infrastructure and ensure quality work. Flexible remote work options and unlimited co-working options available.
Figma
Join Figma's Extensibility team to develop and maintain their developer platform, including plugins and APIs. Work with TypeScript, Ruby, C++, and collaborate on user experiences for complex problems.
Clipboard Health
As an L2 Software Engineer at Clipboard Health, you will develop scalable healthcare solutions using TypeScript, React, Node.js, and AWS technologies in a globally distributed team environment. Your work will directly impact healthcare staffing by solving real-world challenges and contributing to a customer-centric approach.
Clipboard Health
Develop scalable web and mobile applications using modern technologies while working remotely on a globally distributed team to solve healthcare challenges.
Vercel
Enhance Next.js documentation by maintaining content, creating tutorials, and ensuring alignment with developer needs. Collaborate with the core team to provide accurate and helpful resources for developers using Next.js.
StackAdapt
Join StackAdapt as a Quality Engineer to drive software quality through automation, collaborate with teams on CI/CD integration, and contribute to enhancing the platform's reliability. Enjoy competitive compensation, health benefits, mental health support, and professional development opportunities in a remote-friendly environment.
StackAdapt
Enhance software quality at StackAdapt by developing and implementing test automation solutions across various platforms. Collaborate with cross-functional teams to ensure high-quality product releases in an agile environment.
Binance
Transaction Monitoring Analyst at Binance: Investigate customer activities, assess profiles, and conduct transaction monitoring investigations using blockchain analytics tools.
Curai
Lead Security Engineer at Curai Health: Drive security initiatives, implement frameworks like ISO 27001/2 and NIST CSF, ensure HIPAA/SOC-2 compliance. Collaborate with engineering teams to maintain secure infrastructure in a remote-first environment.
Lumos
Lead Data Engineer at Lumos: Design & implement scalable data pipelines for analytics & AI-driven solutions.
Deimos
Join Deimos as Principal Software Engineer & lead software solutions with scalability, maintainability, performance, security & operational excellence in mind.
Broadvoice
Lead cloud communication platform development at Broadvoice using Node.js, Ruby on Rails, PostgreSQL, and TypeScript. Mentor engineers, drive innovation, and ensure system scalability and reliability while enjoying comprehensive benefits and flexible remote work options in Portugal.
Dropbox
Lead the development of data strategies, collaborate across teams, ensure data reliability and security, and mentor team members as a Principal Engineer in Data Architecture.
CloudWalk
Architect and implement distributed systems, lead projects from discovery to delivery, define standards of excellence, and mentor engineers while leveraging AI tools in a global fintech company.
Shippo
Lead the transformation of Shippo's monolithic applications into scalable microservices. Implement industry-leading practices in testing, monitoring, and developer tools to enhance software quality and efficiency.
Dropbox
Lead data strategy, architecture, and governance to support company growth and innovation. Collaborate across teams to deliver scalable, efficient data solutions and insights.
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.
