Software Engineering Intern Winter Salary India in Gurugram

About Us: Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com . Location: This is a hybrid role based out of our Gurugram office. To balance collaboration and flexibility, we work from the office 3 days a week (Tuesday - Thursday) and from home the remaining days (Monday & Friday). The Role: As a Senior Product Manager at Sauce Labs, you will be responsible for driving the vision, strategy, and execution of key products within our portfolio. This role will be leading developer-tooling for AI-native product portfolio , working closely with teams and customers across multiple regions. You will lead cross-functional teams to deliver best-in-class solutions that meet customer needs and support the company's overall strategy. You’ll be a key decision-maker in shaping product direction from new concepts to aligning pricing packaging, partners approach, and will mentor and guide other product managers. Responsibilities: Product Vision & Strategy: Define and communicate the product vision and long-term strategy to stakeholders and team members. Lead market and competitive analysis to identify opportunities for innovation and growth. Align product strategy with overall business goals, ensuring product efforts drive revenue and customer satisfaction. Be able to lead overall ROI analysis for new product initiatives including pricing and packaging Experience working with partners and 3rd party developer ecosystem Product Roadmap Ownership: Develop and manage the product roadmap, balanci

Who are we: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets. Description Lead research in applying machine learning to a wide variety of datasets and trading problems Follow latest developments in academic research and incorporating research techniques from different fields of applications to our problems Improve tick-by-tick order book based time series feature sets using latest preprocessing techniques Work on current and develop new deep learning models to exploit large pool of in-house features and computing infrastructure Develop scalable pipeline for building predictive models across global markets Discover and implement new sources of predictive alpha, verify that they improve existing models, and integrate them into the firm's strategy development pipeline Partner with quant researchers and software developers in implementation of conducted research to production using Python / C++ Advise infrastructure support team on latest developments on hardware and software to improve computing infrastructure for ML based research Qualifications Masters or PhD in Computer Science, Mathematics, Statistics, or a related field At least two years of demonstrated experience of ML/AI research in a professional setting or at a repu