Lead Software Engineer, Machine Learning
Bangalore / Chennai
Technology – Engineering /
Full-time /
Hybrid
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 users
- Improve existing ML models: everything from tweaking the dataset to replacing the entire solution with a whole new method
- Assess the risks and merits of different approaches to solving complex problems in the light of the specific requirements and time frame
- Actively work on creating and improving tools to parallelize model training, unifying dataset creation and accuracy measurements across experiments
- Closely monitor the edge cases of model performance and taking active measures of explaining the reasons and possible approaches for diminishing undesirable effects
- Be actively involved in the process of productizing research experiments into enterprise-ready AI solutions
- Encourage 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 others
- Passion for Machine Learning and solving problems
What we'd like to see
- Production experience with Machine Learning and/or Natural Language Processing
- Experience in deep-learning frameworks like PyTorch and TensorFlow
- Knowledge of additional languages such as SQL, Go, Javascript, or Typescript are not necessary but will help you work in cross-functional teams
- Experience using Athena and Redshift
Benefits
- Competitive compensation
- Stock options
- ICICI Lombard General Insurance LTD
- Onsite lunch & dinner stipend
- Connectivity (mobile phone & internet) stipend
- Wellness perks
- Mac equipment
- Learning & development stipend
- Parental leave, including 6 weeks paternity leave
ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance
