Polar jobs

SNOW Developer 2 Locations posted: Posted 2 Days Ago

Clinical Research Associate III (Remote) Santo Amaro posted: Posted 14 Days Ago

Quantitative Developer Singapore Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world's best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do - combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Responsibilities - Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L - Developing Python tools used in trading

Analytics Engineer - OpenData EMEA (Remote) Portugal - Lisbon Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success. The analyst engineer role will create maintenance jobs to transform, clean and validate data from a variety of sources. The data is handed over to our data platform for processing using Python. The role has a significant impact on customer success, as it is ensuring the freshness, availability and quality of data for our customers.

Band 5 - Mental Health Nurse(RMN) - Cornwall Manchester

Content Engineer, Campaigns & Content Remote, United States posted: Posted 24 Days Ago

Senior Research Engineer London Flow Traders is looking for a Senior Research Engineer to join us in our London office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities. As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves. What you will do - Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production - Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals What you need to succeed - Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar - 8+ years of hands-on experience MLOps, Research Engineering, or ML Research - A strong background in mathematics and statistics - Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch,

Registered Nurse ICHD Float 10 Locations posted: Posted 2 Days Ago

Data Scientist - Pricing London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting researchers, traders and engineering teams across the firm. The role focuses on designing and developing datasets that support systematic strategies and trading decisions, while improving the robustness and scalability of data onboarding processes. You will collaborate closely with technical and business stakeholders to help accelerate the use of both traditional and alternative datasets. Your future role within QRT - Collaborate with quantitative researchers and traders to design datasets supporting systematic strategies and trading decisions - Develop code to extract, clean and aggregate data from a wide range of structured and unstructured sources - Build and maintain robust data pipelines covering sourcing, transformation and delivery workflows - Work with engineering teams to automate and optimise data extraction and processing systems - Investigate and resolve data related issues to reduce time to production - Evaluate and implement new approaches for data extraction and onboarding Your present skillset - 2 or more years of experience as a Data Scientist or in a similar data focused role

Optics Coating Operator (2nd shift) Work Location (Country) United States | Remote/Onsite Onsite At Zygo, your skills and insights will be integral to our core values of curiosity, collaboration, and persistence. For over 50 years, Zygo Corporation in Middlefield, CT, has been a global leader in designing and manufacturing advanced optical metrology systems, ultra-precise optical components, and complex electro-optical systems and assemblies. Join our team, where your expertise will drive cutting-edge solutions, address complex technical challenges, and uphold the highest standards of precision and safety. We are seeking an Optics Coating Operator to join our precision Middlefield Optics team. As an Optics Coating Operator, you will be responsible for the processes associated with depositing optical coatings on optical surfaces. KEY RESPONSIBILITIES: Clean optical components and monitor vacuum chamber for the deposition of optical coatings on optical surfaces. Hand or ultrasonically clean and inspect optical components in preparation of depositing optical coatings on optical surfaces. Load optical components on standard, special or improvised fixtures and place them in vacuum chamber. Operate and monitor vacuum chamber for the deposition of metal, anti-reflection, single, polarizing, dielectric, and multi-layer coatings. Select, measure, and place the applicable chemicals in vacuum chamber. Assist in the creation and revision of optical work instructions. Test coatings with spectrophotometers, laser-photometers and interpret, record and file test data. Perform periodic c

Principal Developer (Golang) - XDR/SIEM Bengaluru, IND posted: Posted 30+ Days Ago

Software Engineer New York, NY, USA Old problem, new $25B+ market Companies like AWS, Stripe, and Twilio have shown that if a technology isn't core to your value proposition, you should offload it. Still, every engineering team builds and rebuilds one piece: authorization , how you control who has access to what in your app. We intend to change that. We see a world where developers never roll their own authorization again, and instead say, "Just use Oso" - the same way you might say, "Oh, you should just use Postgres for that." In doing so, we're creating the $25B+ authorization market. Why Oso? We have the lead - in traction, capital, and team. - Traction : Oso is used by thousands of companies from startups to the Fortune 500, like Wayfair, ProductBoard, Vanta, Brex, Verizon, ZoomInfo, and Duolingo. - Capital : We're backed by the world's best investors, including Sequoia, Felicis, and a standout group of infrastructure founders and operators: Olivier Pomel (Founder, Datadog), Dev Ittycheria (CEO, MongoDB), Armon Dadgar (Founder, HashiCorp), Edith Harbaugh (Founder, LaunchDarkly), Guy Podjarny (Founder, Snyk), Paul Copplestone (Founder, Supabase), Christina Cacioppo (Founder, Vanta), and Calvin French-Owen (Founder, Segment). - Team : We've spent 5+ years going deep on the domain. We've met with thousands of engineering teams and know more about this problem than anyone. And we have two of the best developer go-to-market leaders on earth who have done it before at MongoDB and Snyk. Why now? We're at an inflection point. What

Electrical Engineer - Solar EPC

Research Scientist Intern, Optical System Design (PhD) Redmond, WA Meta Reality Labs brings together a team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Responsibilities: - Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results - Publish research results and contribute to research that can be applied to Meta product development - Develop next generation AR/VR displays with an emphasis on advanced simulations and prototyping to prove new concepts and understand the perceptual impact of those concepts - Collaborate with larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices - Explore the application of at least one of the following: geometrical optics, diffraction optics, polarization optics, illumination, optical

Manager, Engineering - Endpoint - Cloud Bengaluru, IND posted: Posted 15 Days Ago

Hand Soldering Technician Work Location (Country) Mexico | Remote/Onsite Onsite The Hand Soldering Technician is responsible for the precise manual assembly, soldering, and rework of electronic components on printed circuit boards (PCBs). This role requires strong attention to detail, excellent manual dexterity, and the ability to follow IPC Class 3 standards to ensure the highest quality in electronic assemblies. Key Responsibilities Perform manual soldering on through‑hole (THT) and surface‑mount (SMD) components. Execute rework activities using flux, solder wire, hot air stations, solder wick, and solder suckers. Interpret drawings, BOMs, component polarity, and assembly instructions. Place electronic components accurately following engineering and quality requirements. Handle moisture‑sensitive and ESD‑sensitive components according to established procedures. Inspect solder joints and assemblies using magnification tools or microscopes. Identify and correct defects in accordance with IPC‑A‑610 Class 3 criteria. Document completed tasks, rework performed, and any anomalies detected. Follow manufacturing procedures, safety rules, PPE requirements, and ESD controls. Maintain clean, organized, and audit‑ready workstations. Collaborate with team members and support continuous improvement initiatives. Requirements 3+ years of experience in hand soldering, PCB rework, and electronic assembly. Technical degree in Electronics or a related field (required). An Engineering degree is desirable. Proficiency in manual soldering (THT & SMD). Experience working with

Senior Threat Researcher Endpoint/Cloud - Detections Bengaluru, IND posted: Posted 2 Days Ago

Sr. Manager, Product Development Engineer - Fiber Assembly & Termination Systems, DDN Job Country United States At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. ​ Job Overview Sr. Manager, Product Development Engineer - Fiber Assembly & Termination Systems, Digital Data Networks (DDN) Business Unit | TE Connectivity The Opportunity Join TE Connectivity's advanced Fiber Assembly organization as a Product Development Engineering Manager and help pioneer the next generation of fiber backplane cable assemblies, termination systems, and high-density interconnect solutions powering AI and hyperscale computing. You'll tackle complex engineering challenges in fiber optics, working with advanced assembly processes, additive manufacturing, and precision manufacturing to create products that enable the world's most demanding data center applications. Why This Role Matters As AI workloads demand unprecedented bandwidth density and reliability, fiber assembly engineering and advanced termination technologies have become mission-critical. You'll be at the forefront of solving complex technical challenges in fiber routing, polarity management, and high-density packaging that directly enable the AI revolution while advancing TE's leadership in sophisticated optical connectivity solutions. Please note: operations are currently based at a temporary site in Webster, NY. The team will transition to a permanent Rochester location (near RIC) upon completion. Job Requirements What You'll Engineer: Advan

Directeur Développement Écosystème Snowflake - F/H Location not specified posted: Posted 30+ Days Ago

Director, Sales - Enterprise (Mid-Atlantic) Remote, United States posted: Posted 15 Days Ago

Machine Learning Engineer New York Virtu's Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading - building tools that directly determine how fast our researchers can move, and how effectively our GPU cluster translates into research output. In this role, you will be responsible for the development of our ML research platform: the systems that manage data and compute, track experiments, and enable researchers to go from idea to result as efficiently as possible. You will work closely with quants and engineers alike and will play a central role in shaping how ML is done at the firm as we scale our capabilities. We mostly use Python, C++ and Java with a variety of open-source tools along with proprietary solutions. THE ROLE - Design and build experiment tracking, job orchestration, and reproducibility infrastructure so researchers can iterate quickly, compare runs reliably, and recover from failures without losing work - Create tools for all stages of the simulation lifecycle including historical back-tests and production monitoring. Add new features to our simulators - Own visibility into GPU cluster utilization - track allocation, surface bottlenecks, and ensure our compute investment is being used effectively - Diagnose and resolve performance issues across training pipelines: data loading throughput, storage I/O, GPU utilization, and inter-node communication in distributed training

Sr PCS Engineer - Berkeley, CA Berkeley,California,United States

Machine Learning Engineer / Scientist Bay Area Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge,

Principal Developer - Exposure Management 2 Locations posted: Posted 24 Days Ago