At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship
We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.
Applicants with all or some relevant combination of the requirements listed below are encouraged to apply. This is a hybrid role, with a preference for candidates near our Bengaluru office, as we require 12 days of in-office presence per month to balance flexibility with collaboration.
What you'll do
Help us turn research into meaningful ML products that help tens of millions of usersImprove existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new methodAssess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frameActively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experimentsClosely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effectsBe actively involved in the process of productizing research experiments into enterprise-ready AI solutionsEncourage and participate in open collaboration within the ML team and across functions, driving best practices, sharing AI/ML advancements and joint problem-solving.
What you'll need
Production experience with Python, AWS, Kubernetes, and/or Docker. Proven skill at debugging complicated systems and writing solid test cases to ensure their stability.Experience implementing technical solutions, tackling tough engineering problems to help build our products. You enjoy solving complex engineering problems working closely with the Product team to achieve business goals.A Bachelor’s Degree in a field of science, technology, engineering or math, or equivalent hands-on experience Desire to learn new things, work closely with peers from different teams, and open to teach and learn from othersPassion for Machine Learning and solving problems
What we'd like to see
Production experience with Machine Learning and/or Natural Language ProcessingExperience in deep-learning frameworks like PyTorch and TensorFlowKnowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teamsExperience using Athena and Redshift
Benefits
Competitive compensationStock optionsICICI Lombard General Insurance LTDOnsite lunch & dinner stipendConnectivity (mobile phone & internet) stipendWellness perksMac equipmentLearning & development stipendParental leave, including 6 weeks paternity leave
