About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D
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Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position: HR Assistant [ Full Time Role ] 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus About the Role We are looking for a proactive and detail-oriented HR Assistant to join our growing Singapore team. This is an entry / junior level opportunity for someone who is interested in developing a career in Human Resources and Talent Acquisition . The role will primarily support Recruitment & Talent Acquisition , while also assisting with HR operations, onboarding, employee records and engagement activities. Key Responsibilities Recruitment & Talent Acquisition – Main Focus Support the recruitment process from job posting and candidate sourcing to interview coordination and offer preparation. Post job vacancies on LinkedIn, JobStreet, university portals and other recruitment platforms. Source and screen candidates based on job requirements. Coordinate interviews between candidates and hiring managers. Maintain candidate records and recruitment status in the ATS / HR systems. Support campus recruitment activities, career fairs and university partnerships. Build and maintain candidate pipelines for current and future hiring needs. HR Operations Assist with day-to-day HR administrative activities and documentation. Maintain accurate employee records and update HR systems. Support new employee onboarding and offboarding processes. Assist
Point72 Academy 2026 Investment Analyst Program for Experienced Professionals – Singapore We’re training the next generation of Point72 discretionary investment professionals. The Point72 Academy Program is a ten-month paid training program designed to introduce you to the buy-side and prepare you for a potential career as a Fundamental Equity Financial Analyst at Point72. Upon successfully graduating from the Academy, you will have the opportunity to be placed in a role on a fundamental equity investing team. As an analyst at Point72, you will benefit from our mentorship culture and ongoing professional development resources that are dedicated to your continued growth beyond the Academy. WHAT YOU’LL DO: Learn the fundamental research and analysis skills needed to be an analyst at Point72 and apply intellectual curiosity in a role that values creativity, autonomy, and analytical rigor. Develop sophisticated company analysis and modeling skills from our Academy faculty, investment professionals and professors from some of the world’s leading universities. Learn statistics, accounting, financial modeling, data analysis, coding, and more. Complete a compliance training curriculum to prepare you for an analyst role. For all Academy Associates, at least a portion of this training will take place in our New York City office. Apply the skills you’ve developed to real-life situations as you rotate with two investing teams. Gain firsthand experience and valuable mentorship from our investment professionals during your rotations. Upon Successful Graduation: The Analyst Role Upon the successful completion of the Academy, you’ll have the opportunity to interview for an equity research analyst role at Point72, where you’ll work closely with your portfolio manager and team to develop a deep understanding of companies across industries and around the world. Through fundamental research and financial analysis, you’ll attempt to see change before it happens and turn th
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Manager, Account Managem ent We’re looking for an experienced and motivated leader to join our Account Management team. You will build, mentor, and coach a team of account managers who are responsible for growing strategic merchant relationships and payments revenue. You are comfortable streamlining team operations, encouraging effective collaboration, and engaging with executives at all levels. As a critical role as part of the Commercial Engine at Adyen, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen. What you’ll do As the Manager, Account Management, your role and some of your responsibilities will include: Motivate team members and encourage creativity while understanding training needs. Provide coaching in areas including but not limited to: strategic account planning, contract negotiations, product roadmap discussions, and executive engagement. When needed, get involved in operational tasks, help build C-level relationships, and support the team in merchant escalation calls or critical negotiations. Hire, develop and retain diverse talent to support our commercial and strategic ambitions. Co-define and monitor Commercial OKRs achievement every year on a team and individual level. Report on performance and metrics at an executive level. Collaborate cros
Point72 Academy Investment Analyst Program for Upcoming Graduates — Singapore We’re training the next generation of Point72 investors. The Point72 Academy Investment Analyst Program for Upcoming Graduates is a paid ten-month training program designed to introduce you to the buy-side and prepare you for a potential career as an analyst at Point72. We’re looking for current students graduating between December 2026 and July 2027 to join our 2027 classes. After successfully completing the program, you’ll have the opportunity to join a network of more than 230 Point72 Academy graduates who we have placed at our firm, as of March 2026. If you are successfully placed as an analyst, you will have access to mentorship and professional development resources that can help you progress your career for years to come. What you’ll do Join us to learn the fundamental research and analysis skills needed to become an investment analyst at Point72, applying your intellectual curiosity in a role that prizes creativity, autonomy, and analytical rigor. The program begins with eight months of formal training followed by two months of rotations with investment teams or similar roles on our platform. Best of all, upon successful completion, you may have the chance to join an investing team as a full-time analyst. Develop sophisticated company analysis and modeling skills with guidance from our Academy faculty, investment professionals, and professors from some of the world’s leading universities. Learn statistics, accounting, financial modeling, data analysis, coding, and more. Apply the skills you’ve developed to real-life situations as you rotate with up to three investing teams. Work closely with our investment professionals, gaining firsthand experience and mentorship throughout your rotations. Upon Successful Graduation: The Analyst Role You may have the opportunity to become an equity research analyst at P
Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Holder Only) 5 Work Days Per Week Office Near Tai Seng MRT, Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Strong logical thinking and problem-solving ability, able to independen
Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD Only) 5 Work Days Per Week Office Near to Kaki Bukit MRT, Singapore Relocate Near Tai Seng MRT in Mid-August 2026 Medical & Dental Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM &nbs
Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. AI Algorithms Engineer (PHD / Master Degree Only) 5 Work Days Per Week Office Near to Kaki Bukit MRT, Singapore Relocate Near Tai Seng MRT in August / September 2026 Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: PHD / Master Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations . Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning , be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and op
Create learning experiences that challenge leaders, inspire action and transform workplaces. As a senior learning and development consultant at Gallup, you’ll bring our research and advice to life by delivering transformational learning experiences, coaching leaders and partnering with clients to design learning journeys that address their most important workplace challenges. What You’ll Do Build trusted relationships with clients to uncover business challenges and determine learning and development opportunities Deliver Gallup’s research-based curriculum through compelling virtual and in-person experiences that help leaders, managers and individual contributors build thriving workplaces and improve performance Facilitate standard Gallup curriculum Configure existing curriculum to address unique client needs Create new learning content when the situation calls for it Coach and advise clients through individual sessions, post-course coaching and longer-term coaching journeys Master Gallup’s research, analytics and methodologies and translate complex findings into clear, relevant insights Share expertise and collaborate thoughtfully across internal teams with the responsiveness, foresight and follow-through needed to elevate client experiences and team performance Who We Want Executive-level facilitators who command a room with credibility, energy and confidence and turn learning experiences into engagements clients want to repeat Trusted advisers who ask insightful questions, quickly uncover what clients really need and confidently challenge thinking Versatile creators who know when to use proven curriculum, reconfigure what already exists or customize fresh learning content Driven partners who take ownership, move with urgency and make decisions with clients and teams in mind Agile learners who absorb complex research and methodologies quickly, think analytically, and embrace and apply feedback AI-curious consultants who use emerging tools such as AI while maintaini
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Strategic Pricing Analyst We’re looking for a Strategic Pricing Analyst for the APAC region to join our Global Commercial Pricing & Monetization team. As a Strategic Pricing Analyst you will work closely with different teams (e.g. sales, account management, product management, and finance) to ensure we set the best possible prices that reflect the value of our offering. The ideal candidate is someone who is able to approach complex problems in a structured manner and convert them into action. You will be part of our Global Commercial Pricing & Monetization team (as part of the Finance department) which develops value-based pricing and monetization strategies for Adyen’s product offering and provides price guidance to the commercial organization. In addition, we enable the commercial teams to create the best commercial pricing proposals by providing them with means such as tools, insights and training. Finally, we monitor price developments and identify opportunities for improvement. What you will do Develop and implement pricing and monetization strategies for local markets, products and payment methods Partner with regional leadership to develop and translate pricing insights into action Partner with key regional stakeholders to understand business needs and challenges, and convert these into new pricing initiatives Drive a
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. About the team The Global DPO Office is expanding its presence across regions, with team members currently based in Amsterdam and New York and plans to grow in APAC. We own Adyen’s global privacy program and AI governance, and support incident response and data governance across the business. This means working across teams and regions to turn privacy and data protection requirements into practical ways of working, while helping Adyen respond effectively when issues arise and navigate new challenges around AI and data. The work is varied, high-impact, and often complex. We work closely with colleagues across Adyen to solve problems that don’t always have straightforward answers, balancing regulatory requirements with the needs of a fast-growing, global business. We give people the space to take ownership, develop their expertise, and shape how we approach new and evolving challenges together. The Role We are looking for a driven and enthusiastic Senior Privacy Counsel to join our Global DPO Office in Singapore and drive our privacy work across the APAC region. Working closely with your colleagues in Amsterdam and New York, you will extend and strengthen our global privacy framework across the diverse and fast-evolving regulatory landscape of the Asia-Pacific region, enabling Adyen to grow in some of our most important commercial markets while making responsible choices. This is a builder role. Winning in APAC is one of Adyen's top commercial priorities, and you will be central to it - establishing a scalable regional privacy baseline, advising on complex local data processing and localization requirements, and partnering closely with regional product, engineering, commercial, and second-line teams. You must combine
At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including
The Point72 Academy Summer Internship — Singapore Are you a student interested in pursuing a career in investing? If you are graduating between December 2027 and July 2028, we invite you to apply for our 8-week summer internship, taking place from June to August 2027. Launch your investing career in the Point72 Academy, an investment analyst training program that will provide you with the tools and knowledge to build a career in our ever-evolving industry. Since 2015, the Academy has graduated more than 230 analysts onto our platform as of November 2025; some are portfolio managers today. The Point72 Academy Summer Internship is a combination of classroom instruction, portfolio casework, and mentorship. The program is designed to give you insights into finance, research, and the workings of the public markets and prepare you for a potential opportunity with the full-time Point72 Academy Associate Program. During the internship, you will: Acquire fundamental knowledge and skills necessary to contribute as an analyst, alongside your peers. Receive training in accounting, modeling, presenting, and compliance. Collaborate with an investment team, gaining firsthand experience of the daily life of an equities analyst and exposure to one of the sectors covered by our Portfolio Managers. Work closely with Academy coaches, delving deeper into data analysis and preparing a final pitch on an investment idea. Collaborate with Compliance, Information Security and the Office of the Co-CIO to discover efficient ways to harness AI in your investment processes and workflows. Who We’re Looking For: We welcome students from all academic disciplines. Your field of study or major is not a determining factor; we seek individuals who can effectively manage teamwork, exhibit integrity, possess intellectual curiosity, demonstrate leadership potential, and express a keen interest in the fin
ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.
From $46.5K/yr
About Remote Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote. With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role. We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform. If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work! What this job can offer you As a critical extension of our clients’ HR teams, we navigate and advise on the intricate paths of global employment with unmatched speed, expertise, and precision. The vision of the Lifecycle team at Remote is not just about maintaining the gold standard in HR practices; it’s about elevating it, integrating cutting-edge technology solutions, and enriching customer experiences in over 80+ countries. On this team, your work directly influences our ability to sustain and extend our compliance coverage, continuously enhance our customer journeys, and significantly increase our operational capacity. You’re not just part of a team; you’re at the forefront of shaping the future of work, ensuring every interaction is fast, intuitive, and profoundly impactful. Dive into a role where your passion for innovation, commitment to excellence, and drive to make a global difference aligns with our mission to empower organizations worldwide to employ anyone, anywhere — compliantly. The Senior Lifecycle Specialist, Employee Relations & Transitions independently manages
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