At ASAPP our mission is simple: deliver the best AI-powered customer experiencefaster than anyone else. To achieve that were 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
Were seeking technologists and problem solvers who thrive in fast-paced environments love collaborating with great talent and approach every day like its Day 1. Were a globally diverse team with hubs in New York City Mountain View Latin America and Indiaembracing both hybrid and remote work to bring the best minds together wherever they are. If youre driven by continuous learning rapid pivots and the challenges of building in a high-growth startup wed love to talk. This is more than a jobits 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 youll 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 youll 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 Bachelors 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 wed 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 to obtain assistance
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.