Senior Algorithm Engineer Jobs

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing , and personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 4+ years of industry experience in ad tech , with a focus on performance optimization. Proven experience in applied machine learning , especial

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas w

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the role In this role, you will collaborate closely with researchers and engineers on the Learned Behavior teams to tackle plan generation challenges in autonomous driving. You’ll apply state-of-the-art generative modeling techniques—ranging from cutting-edge diffusion, flow matching, energy-based models, and SoTA algorithms—in order to develop novel solutions that generate safe, comfortable, and efficient driving behaviors in the most challenging real world situations. Beyond core research, you’ll own the end-to-end lifecycle of your models, productizing them for robust, real-world autonomous driving deployments on a global scale. About the Work Develop and scale state-of-the-art generative models—especially diffusion architectures, flow-matching techniques, and energy-based models —for autonomous plan generation. Build generative models with foundation models. Leverage large language models and world foundation models for r

Location Qualifications: Bucharest (hybrid, 2 days in the office) About the position As an AI Engineer at Showpad, you will contribute to our AI and machine learning initiatives, working closely with cross-functional teams to develop and implement AI technologies that align with our business goals. You'll collaborate with experienced engineers to build impactful solutions and grow your expertise in a fast-moving space. You'll work with state-of-the-art technologies such as LLM models like LLama 3/3.1, Claude models, AWS Bedrock, AWS Sagemaker, and AWS OpenSearch. Our primary languages are Python, TypeScript, and Kotlin. The AI and Generative AI space is evolving rapidly, and so are we — we continuously update to the newest models, track emerging techniques, and engage in extensive experimentation with prompt engineering. Key Responsibilities Design, develop, and maintain AI models to solve complex business problems Contribute to projects from scoping through to release, under the guidance of senior engineers Support the performance and reliability of AI and machine learning systems Collaborate effectively across teams, sharing progress and surfacing blockers early Design, craft, and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs Contribute to engineering and product discussions, bringing fresh perspectives. Are you our next AI Engineer? Must haves Educational background in Computer Science, Machine Learning, AI, or a related field — or equivalent knowledge gained through hands-on experience Experience developing and implementing AI models and algorithms Good knowledge of Python Hands-on experience working with LLMs and other Generative AI models Experience working with AWS or other cloud providers Strong problem-solving skills and the ability to think critically and creatively Good communication and collaboration skills Nice to haves Experience building retrieval augmented generation (RAG) systems Experience with s

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases. What you'll do: Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads Support the development of scalable data infrastructure using Python and cloud-based technologies Integrate and manage data from multiple sources, including internal systems and external APIs Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations Learn and apply data engineering best practices including data governance, security, and performance optimization Required Skills and Experience: Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms Hands-on experience writing SQL for data analysis and working with relational database concepts Familiarity with cloud platforms (AWS, GCP, o

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role For many of our creators, streaming on Twitch is a career, and our payment systems are central to making this possible. We're operating at a massive scale and you'll help millions of creators to earn a living doing what they love. As a key member of the engineering team, you will report to the Senior Engineering Manager of Payments team and have the opportunity to build and scale solutions that affect millions of users and broadcasters. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineers, product managers, designers and data specialists to deliver solutions. Our team is based in San Francisco, CA You Will: Work with technical leads and other engineers to design and develop commerce/payments platform and services Contribute to customer-focused project deliveries Work with other teams to clarify product requirements Improve engineering processes Participate in design and code reviews You Have: Minimum of Bachelor’s degree in Computer Science or prior relevant engineering experiences Strong understanding of data structures, algorithms, data modeling and schema design 1+ years as an software engineer Experience creating detailed technical documentation Proficient experience level in one or more of the fol

Build modern digital platforms at the intersection of engineering, cloud technology, and financial services. The Role We are looking for an experienced Senior Full-Stack Python Software Engineer to design and build high-quality digital solutions using Python web frameworks and modern front-end technologies. You will bring strong foundations in computer science, including data structures, algorithms, SQL and NoSQL databases, distributed systems, and communication protocols. Working closely with Product Owners, architects, business analysts, Tech Leads, and fellow engineers, you will translate business needs into efficient, maintainable solutions. You will have the opportunity to build advanced systems using modern technologies while gaining valuable experience with financial services digital marketing platforms. What You’ll Do Design, develop, test, and maintain high-quality full-stack solutions using Python, Django, and Angular, with potential future migration to ReactJS. Collaborate with Product Owners, architects, business analysts, Tech Leads, and engineers to understand requirements and deliver practical, well-designed solutions. Develop and customize CMS capabilities using Wagtail, integrate PostgreSQL, and design robust task and messaging solutions. Build and consume REST APIs and microservices, applying established API practices including OpenAPI and Swagger. Contribute to cloud-based applications using AWS, modern CI/CD and code-quality tooling, Git, automated testing, and collaborative code reviews. What We’re Looking For Strong hands-on software engineering experience, with significant experience using Python and Django or Flask/FastAPI, alongside front-end development using Angular (at least 7+ years). Strong computer science fundamentals, including data structures, algorithms, SQL and NoSQL databases, data modelling, distributed systems, and communication protocols. Experience with relational databases, preferably PostgreSQL, alongside AWS cloud services

We are seeking an experienced Trading Operations Specialist to assist the company in executing trading strategies and ensuring the effective risk management of trading activities. This role involves overseeing pre-trade, live, and post-trade monitoring, stress testing algorithms, implementing kill functionality, monitoring market abuse, and raising red flags to senior management and compliance as necessary What You’ll Be Doing: Have access to and oversee the implementation of the kill switch to manage and mitigate trading risks promptly Lead a first-line team responsible for owning and managing trading risks, including stress testing algorithms and monitoring trade executions Review and approve new algorithms, parameters, and risk limits before they go live Monitor trades in real-time and review open positions to make informed decisions and adjustments as needed Raise red flags to the CEO, compliance team, and relevant stakeholders for immediate action and resolution Liaise with regulators on compliance matters where necessary Collaborate with the trading desk to ensure smooth and efficient trading operations while adhering to risk management protocols What We Look For In You: Bachelor's degree in Finance, Economics, Mathematics, or a related field 5+ years of proven experience in trading operations, risk management, and market surveillance within the financial industry Strong understanding of trading strategies, algorithms, risk metrics, and market dynamics Excellent analytical skills and the ability to assess and manage trading risks in real-time Proficiency in using trading platforms, automated monitoring tools, and risk management software Effective communication and decision-making skills to lead and collaborate Why Should You Join Our Team? Join an international team of highly qualified professionals Cutting-edge hardware and technology Onsite work at our Malta office (relocation to Malta is required) 40 paid days off Competitive salary

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. At Flexport, we are building the unified Supply Chain Operating System for global trade. While traditional consulting firms deliver slide decks and walk away, Flexport’s Forward Deployed Consultants (FDCs) embed directly on the operational frontline alongside enterprise clients to architect, build, and deploy real-time supply chain solutions. Operating alongside a Forward Deployed Engineer (FDE), you are a senior technical subject matter expert sitting at the intersection of Operations Research, data science, supply chain strategy, and executive client delivery. You will embed with Fortune 500 retailers, high-tech manufacturers, and global brand leadership to audit complex logistics networks, identify multi-million-dollar cost leaks, and build executable optimization models that transform client supply chains. You will serve as the solution design lead across a set of Flexport capabilities: Order, booking, and shipment management Transportation planning, consolidation, and exception management Data integrations, workflow automation, and operational analytics You won't just analyze data in a vacuum: you will write Python scripts, design supply chain algorithms, whit

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for a Senior Data Scientist. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do: Develop best practices for instrumentation and experimentation and communicate

Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages Develop streaming and batch data processing systems for search index construction in a high-load environment Push the limits of hardware performance through low-level optimizations and systems-level tuning Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production Knowledge of Python or other scripting languages Passion for writing clean, efficient, and scalable systems-level code Strong knowledge of algorithms and data structures, and the ability to apply them effectively Deep understanding of multithreading, including various approaches, challenges, and trade-offs Experience building high-load, distributed, and hardware-adjacent services Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications Experience developing core components of search engines, databases, or information retrieval systems Understanding of search fundamentals: indexing, query parsing, ranking, and relevance Experience with trading systems or other latency-sensitive real-time systems Familiarity with cloud services, Kubernetes, and AWS infrastructure

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Senior Data Scientist (FullStack Machine Learning) About Team Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You’ll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency. The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers. Roles and Responsibilities Design, develop and deploy machine learning models and algorithms to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas. Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as, NLP, Computer Vision, recommender systems and Optimisation. Implement robust and reliable software solutions for model deployment. Set up and maintain CI/CD pipelines for automated testing and deployment. Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems. Working with the Data Platforms teams for understanding and collecting the data. Write clean, maintainable and efficient code. Conduct performan

Opportunity Overview: We’re seeking a Senior Clinical Informatician to serve as a key bridge between clinical expertise and data science. In this advanced role, you’ll apply deep clinical reasoning and informatics expertise to design, evaluate, and optimize data-driven healthcare solutions. You’ll also lead ontology mapping, structured data validation, and annotation quality initiatives supporting our next-generation AI and LLM-enabled healthcare tools. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Collaborate with clinicians, data scientists, and engineers to design and validate digital health and analytics solutions. Translate clinical workflows into structured data and logic for algorithms and quality measurement. Lead efforts in ontology mapping, terminology management (SNOMED, ICD, LOINC, RxNorm), and interoperability standards (FHIR, HL7). Oversee labeling and abstraction to ensure model safety, accuracy, and clinical integrity. Mentor junior informaticians and specialists in annotation, data validation, and workflow improvement. What you’ll need: BSN or related clinical degree with active RN license required. 4–6+ years of experience in clinical informatics, analytics, or digital health. Advanced understanding of clinical data, EHR systems, and data standards. Experience with data modeling or AI-driven healthcare products preferred. Master’s degree or informatics certification (RN-BC, CPHIMS, ACHIP, etc.) a plus. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this 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. Position: Java Software Trainee Duration: 4-6 Months Full Time Internship Opportunity to Convert to Permanent Staff 5 Work Days Per Week Office Near Tai Seng MRT, Singapore' Tai Seng Exchange Tower B Job Responsibilities 5 Days, Onsite Full Time Internship From 2027 at Tai Seng Exchange Assist in the design, development, and optimization of backend systems and services Support refactoring and performance improvements of core system components Troubleshoot and solve technical issues with guidance from senior engineers Participate in system design discussions, focusing on scalability and reliability Contribute to the full software development lifecycle (development, testing, deployment) Job Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field Strong foundation in data structures, algorithms, operating systems, and networking Proficiency in Java or Node.js Basic understanding of databases (MySQL) and SQL Familiarity with backend concepts such as APIs, system design, and debugging Good problem-solving skills and willingness to learn in a fast-paced environment Nice to Have Exposure to Redis, Kafka, RocketMQ, Zookeeper, or Dubbo Experience with database schema design or SQL optimization (through projects/internships) Understanding of distributed systems or microservices architecture Internship or project experience in backend development Why Join Us Kickstart Your Engin