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.
Anywhere365
Join Anywhere365 as an SRE to enhance system reliability and performance using Azure, Kubernetes, and cloud technologies. Collaborate on disaster recovery plans and optimize infrastructure for low-latency services like VoIP and video conferencing.
Sporty Group
Join Sporty as a SRE/DevOps engineer and deploy into new regions with AWS technologies
SFOX
Remote Site Reliability Engineer job on AWS with Kubernetes experience required
Conga
Conga Sales Engineer: Partner with sales counterparts to drive customer success and growth, leveraging industry expertise and experience with enterprise applications.
OpenTable
Develop and customize Salesforce applications for internal teams at OpenTable, leveraging Lightning Components, Apex, and integration tools.
TTEC Digital
Oversee database implementations across cloud platforms, contribute to architecture frameworks, manage IP databases, and ensure exceptional customer experiences for TTEC Digital's clients.
TTEC Digital
Principal Database Engineer for TTEC Digital's IP Product Engineering team, overseeing database implementations and contributing to Architecture/Design framework.
TTEC Digital
As a Principal Database Engineer at TTEC Digital, you will lead database implementations, contribute to architecture design, and ensure exceptional customer experiences through innovative solutions. Work with cutting-edge technologies and collaborate with talented teams to deliver impactful results.
Brilliant
Backend-leaning software engineer for Growth and Lifecycle domains at Brilliant, with 5+ years of experience in software engineering and AI-interoperable systems.
OpenX
Staff Software Developer in Test (Python) role at OpenX Poland, utilizing Python, Java, Go, Erlang, Elixir, JS/TS, React, Material UI, Cloudbuild, Spinnaker, and CI/CD tools for large-scale data processing system testing and automation framework development.
Kalepa
Join our team as a Core Engineer to work on cutting-edge technologies like NLP and machine learning. Collaborate with a global team of engineers in full-stack, data, ML, and DevOps roles. Enjoy competitive salary, equity options, excellent benefits, and other perks.
Superside
Lead Backend Engineer for cutting-edge tech in creative industry
Gitlab
Provide professional services including installation, migration, training, and advisory support using IaC tools like Terraform and Ansible. Collaborate with customers and internal teams to ensure customer success and enhance GitLab's offerings.
Cyberhaven
Join Cyberhaven as a Professional Services Engineer and help clients integrate our data security solutions, troubleshoot technical challenges, and deliver high-quality services while staying updated on industry trends.
Trafilea
Growth Marketing Manager for Marketplaces at Trafilea, driving revenue growth and customer acquisition across new marketplaces like Amazon, Macy's, and others.
Presto
Client Servicing Agent at Flipster - Japanese & English speaking required
Goodnotes
Lead engineer at Goodnotes: build new products, partner with educators, and shape tech roadmaps.
Goodnotes
Lead engineering efforts at Goodnotes, building scalable solutions with modern tech stacks, and drive user growth and engagement.
Goodnotes
Lead engineer at Goodnotes, build new products from scratch with modern tech stacks, flexible remote work options, and meaningful equity.
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.
