Senior MLOps Backend Engineer Join Our Exciting Startup and Help Us Change the Customer Insights Landscape

experial is a fastgrowing AI startup on a mission to revolutionize the way companies use customer insights. Our founders are two market research PhDs and one exAleph Alpha engineer.

Our mission is to generate millions of digital customer twins that deliver instant customer insights to every business decision.

We have already built the first iteration of the product secured initial clients and are have raised over 2 Mio. in venture funding to accelerate our growth.

Join us as our Senior MLOps & Backend Engineer and play a huge role in shaping the technological future of experial!

Tasks

As part of the customer twins team you will be responsible for building cloud infrastructure that processes petabytes of data and makes our customer twin models accessible for our platform backend.

What Youll Be Doing:

• Architect and Scale Data Infrastructure: Design and deploy robust infrastructure solutions capable of managing petabytes of data and supporting millions of digital customer twins with efficiency and scalability.
• Engineer Scalable Backend Systems: Develop and optimize backend systems to handle massive data volumes and collaborate with the AI research team to make millions of digital customer twins for advanced customer research.
• Build HighPerformance Data Pipelines: Construct and optimize highperformance data pipelines to ingest process and analyze vast amounts of data essential for generating and maintaining digital customer twins at scale.
• Manage Twins and Twin Factory: Oversee the creation deployment and maintenance of customer twin models ensuring they are accurately and efficiently produced and managed.
• Collaborate and Contribute to Technical Decisions: Participate in team discussions providing insights and recommendations on technical decisions and strategic directions.

Requirements

What Were Looking For:

• Fluent in Python and ideally with some experience with PyTorch.
• Experienced in building AIrelated cloud infrastructure preferably handling data at petabyte scale.
• Skilled in logging monitoring CI/CD and other essential DevOps practices.
• Skilled in designing building and maintaining robust data pipelines and architectures.

Benefits

Whats in It for You:

• Pioneering Infrastructure at Petabyte Scale: Architect stateoftheart backend systems tailored for millions of generativeagent based models i.e. our digital twins.
• Competitive Compensation and Rewards: Enjoy a competitive salary and benefits package reflecting your experience and the unique value you add to our team.
• Stake in Our Success: Receive virtual shares in equity giving you a stake in our exciting journey with the potential for significant financial rewards.
• Were (almost) GPU Rich: Make use of up to 200k in cloud and GPU credits as well as a budget for innovating our generative agentbased models.
• Open Source Commitment: We plan on contributing to opensource software with our projects.
• Dynamic Startup Culture: Enjoy flat hierarchies minimal micromanagement dedicated learning time and weekly engineering exchanges to fuel your growth.

What are the next steps:

If you are passionate about technology excited about AI and ready to
make an impact in a rapidly growing startup we want to hear from you!

Apply now with your resume portfolio and a brief description of your relevant experience and accomplishments.

Please include your suggested compensation in your application as we believe
in ensuring a fair and mutually beneficial arrangement tailored to your
skills and experience.

Join experial today and help us reshape the customer insights landscape!