The successful candidate will provide the technical leadership for the machine learning project within the creation of Everbridge's Risk Data Ingest (Hermes) platform. The role will require collaboration with architects, domain experts, engineering management, product management, and engineers. This position requires 10 years professional experience in a data science role with good working knowledge in machine learning, natural language processing, using Python programming. The candidate must have the ability to drive machine learning projects and produce results while working with a remote team, using Zoom, Slack, email, and other collaboration tools. What you'll do: Design and implement Machine learning, deep learning predictive models/NLP utilizing diverse sources of data to reflect and expedite the RIMC (Risk Intelligence Monitoring Center) analyst's curation of risk event data.

It is our inherent belief that diverse teams build better products. We aim to create a space where employees can bring their true selves to work every day. Animoto is proud to be an equal opportunity workplace and affirmative action employer. We welcome you to be a part of it.

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. As a science manager for the ML Solutions Lab team, you will lead a team of customer-facing scientists and architects to design and deliver advanced ML solutions to solve diverse real-world problems for customers across all industries. You will interact with customers, translate their business problems into ML problems, and lead your team in applying classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.

Scale is a vital part of bringing ML-enabled technologies to the world, from autonomous driving to drones, robots, and AV / AR. As our customer base is growing exponentially, you will be leading our field engineering efforts for our computer vision based projects, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Scale works with the world's top self-driving car and robotics ML teams on annotating data across Lidar, Camera, and Radar modalities. For example, our CTO, Brad Porter, was Amazon's top robotics leader, our Director of Engineering, Elliot Branson, lead perception at Cruise Automation, and one of our product leaders, Russell Kaplan, built out the core vision model for Tesla Autopilot. As our Field Engineering team continues to grow, we're looking for a player-coach to lead by example and build out the processes, systems, and structures that will support Scale's ambitious growth goals.

Market Data Analyst- ION Corporates Role DescriptionAs a part of the Services Team, analysts will be responsible for delivery of the Market Data services we offer to our Treasury SaaS clients across the globe. This position requires support in one of the 3 time zones– APAC, EMEA or North America. The shift alignment is subject to the periodic reviews and changes based on the ongoing business requirements. This role will include coordinating with the product teams on monthly system upgrades, raising fix and enhancement requests in addition to performing the UAT periodically (Software Development Life Cycle SDLC). The Market Data Analyst is responsible for ensuring that Reval data is compliant with its market data vendors (primary and sub-vendors).

About The Role They say no man is an island, and this holds true here at Gojek. Data Scientist, you'll be part of the Consumer Platform team that directly impacts Gojek by building smart smart data products. Your main objective will be to mine insights from the sea of data to build ML powered data products. Many smart business leads, analysts and scientists will be your companions during this ride. Best yet, you'll have the opportunity to flex your DS skills, getting us even closer to our ultimate goal to become the leading technology platform.

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world's largest pharmaceutical companies to emerging biotechs. Veeva's software helps our customers bring medicines and therapies to patients faster. We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.

Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world's largest pharmaceutical companies to emerging biotechs. Veeva's software helps our customers bring medicines and therapies to patients faster. We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.

About VerkadaAt Verkada, we're rethinking what it means to be physically safe. Today, we build security cameras that detect action, identify danger and help keep people and places safe and secure. Using a combination of software and hardware, we're transforming an industry that has seen little innovation for decades--and we already support thousands of customers. But this is just the beginning. We envision a world in which security systems feel as seamless and modern as the organizations they protect and our enterprise solution becomes a model for not just business security, but public security as well.