Software Engineer

Who you are

• The ideal candidate will have strong probabilistic and quantitative thinking, the ability to be highly creative and experimental with LLM applications, and ground their work in potential customer and product applications

What the job involves

• We’re looking to add applied AI research engineers to the team
• Our applied research team focuses on finding new and innovative techniques to improve the frontier of what is possible in agentic AI marketing applications, with a particular focus on image and video. We focus less on theory or writing research papers, and more on experimenting, prototyping, and exploring new methods for applying generative AI to help our customers grow their companies
• Example workstreams include:
• Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
• Design and develop evaluation and improvement systems that can make advancements autonomously
• Expanding the frontier of what is feasible with AI generated video (e.g. making generated humans maximally realistic)
• Experiment with different approaches for generating brand assets that stay aligned to a particular company’s look and feel
• We're seeking talented, intellectually curious, and motivated individuals interested in exploring the forefront of AI. While no prior experience with LLMs and AI is required, strong technical skills, particularly in backend architecture or probabilistic systems, and product intuition are essential for understanding and executing these projects from start to finish
• This is a senior role, but we focus on impact and potential for growth more than years of experience

The application process

• Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend 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
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [60m]: Designing a data processing or machine learning feature end-to-end (depending on background)
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic 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

Benefits

• Hub & Remote friendly: Join our global team, either remotely or in one of our four in-person hubs. For those near a hub, enjoy complimentary lunches on Tuesdays and Thursdays
• Flexible PTO: Downtime is just as important as on time and your teammates will support you while you relax and recharge
• Core benefits: For full-time US-based employees, we cover all health benefit premiums, 80% for dependents, and life insurance
• Parental leave: We value and support the family planning process. We provide up to 16 weeks for parents
• Professional development: We support employees for all learning resources needed to grow in their role (classes, books, conferences, etc)
• Connectivity: We offer a $50 per month cell-phone or wifi connectivity stipend to all employees
• Commuter: Commuter benefits of $50 are offered to both employees who come into the offices and to remote workers working outside of their home