Pandas Jobs
10 open roles mentioning Pandas
Decision Scientist Lead
Salesforce
Salesforce is seeking a Decision Scientist Lead to join the Data Solutions team, which drives the company's progress in the 4th Industrial Revolution through trusted data and artificial intelligence. This role will lead the team responsible for developing the data foundation, metrics, and insights for Data 360, informing the path forward to be smarter in every dimension. The Data Solutions team acts as an unbiased partner, providing crucial information for financial forecasting, customer health, adoption insights, and curated data. This is an opportunity to lead a team of high-achieving analysts and engineers, partnering with cross-functional teams to solve complex business problems using data and AI.
$173k - $260k
AI Engineer – Forward Deployed Engineering (AI FDE), U.S. Public Sector (Federal Focus)
Databricks
Databricks is seeking an AI Forward Deployed Engineering (AI FDE) professional to join a specialized customer-facing AI team. This role involves delivering professional services to help customers build and productionize AI applications, working cross-functionally with engineering and product teams. The ideal candidate is passionate about customer engagement, collaboration, and staying current with GenAI and LLMOps trends. This position can be remote, but requires periodic on-site work in the Washington, D.C., Maryland, or Virginia metropolitan area.
$182k - $250k
Research Scientist
Snorkel AI
Snorkel AI is seeking a Research Scientist to bridge the gap between cutting-edge research and real-world AI systems. This hands-on role involves prototyping, building, and deploying innovative AI solutions, translating research breakthroughs into scalable, practical applications. The company operates in a fast-paced, high-impact environment, seeking individuals who thrive on rapid iteration, solving open-ended challenges, and driving innovation from research into production.
$200k - $375k
Senior Applied Power Architect - GPU
nvidia
NVIDIA is seeking a Senior Applied Power Architect to join our Applied Power Architecture team. You will be instrumental in developing state-of-the-art GPUs for AI, Automotive, GeForce, and Mobile products. This role involves inventing methodologies, features, and techniques to tackle electrical, speed, and power challenges for next-generation AI architectures. You will drive power management initiatives to optimize efficiency and performance while adhering to electrical, thermal, and power constraints. The position requires a deep understanding of process characteristics and their impact on voltage-frequency (V-F) tradeoffs, as well as investigating multi-die technologies and proposing innovative solutions for packaging, interconnect, physical design, electrical, and thermal challenges. Collaboration with cross-functional teams, including ASIC designers and packaging experts, is essential for formulating effective solutions.
$168k - $311k
Data Scientist, Handshake AI
Handshake AI
Handshake AI is seeking a highly motivated Data Scientist to support analytics, measurement, and operational insights across their human data training workflows. This role involves working with fast-moving data related to expert performance, task quality, throughput, and operational efficiency. It's a hands-on position offering significant ownership, close collaboration with product and operations teams, and a steep growth curve for high performers. Handshake AI aims to become the default platform for the AI data economy, similar to LinkedIn's impact on professional networking.
$135k - $180k
Machine Learning Engineer
Ramp
Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.
$200k - $330k
AI/Machine Learning Engineering Intern
Gecko Robotics
Gecko Robotics is seeking an AI/ML Engineering Intern to join their Engineering team for Summer 2027. This is a full-time, onsite internship where you will work on a defined project that turns inspection data into decisions, building models and the systems around them that run reliably on real customer data. This role focuses on building the systems that analyze data, rather than just the analysis itself. Candidates must be authorized to work in the United States due to government program requirements.
Applied Scientist Intern
Ramp
Ramp is seeking an Applied Scientist Intern to join their team and contribute to solving critical business problems through machine learning. As an intern, you will be a fully integrated member, owning a project from inception to completion. You will collaborate with engineers, product managers, and business stakeholders to translate complex business needs into scalable, ML-driven solutions. This role offers the opportunity to apply ML in a practical setting, ship code, and create tangible value for Ramp and its customers, focusing on areas like credit, fraud, growth, or the core product.
Senior/Principal RAN Digital Twin & AI Simulation Engineer
Parallel Wireless
Parallel Wireless is seeking a skilled wireless systems engineer to lead the development of a multi-RAT digital twin for their Open RAN solution. This role involves executing production RAN software within a closed-loop simulation environment, enabling engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without the need for physical radio setups. The position is a senior individual contributor role at the intersection of wireless systems, simulation, production software, and AI/ML, focused on evolving an existing simulator into a scalable platform for feature development, testing, and optimization.
Senior Machine Learning Engineer, Accelerated Apache Spark
nvidia
NVIDIA is seeking a Machine Learning Engineer to join the GPU accelerated Apache Spark team. This role involves working with the open-source community to enhance Apache Spark's performance and cost-efficiency on NVIDIA GPUs, enabling enterprises to scale their Spark workloads. You will apply advanced ML/AI techniques to optimize these large-scale data processing applications.
$224k - $357k
