Spark jobs

Senior Machine Learning Engineer 2 Locations posted: Posted Yesterday

Electrical Engineer Middenmeer, NH, NL

Senior App Engineer (React Native) Barcelona, Catalunya, Spain We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the Team! Join Preply's AI Teams and help us power people's progress through life-changing learning experiences. We're on a mission to combine the magic of the best tutors with cutting-edge AI to create personalized journeys that keep learners motivated and inspired. Together, we'll transform how students expand their vocabulary, master conversational fluency, and deepen comprehension - unlocking their full potential and sparking a lifelong love for learning. Are you ready to make an impact? Let's redefine education! We've reached 90%+ adoption of AI coding tools across engineering, and we're now moving towards more autonomous, AI-Augmented development at scale. At Preply, engineers have direct access to the best

Senior Applied Scientist, Last Mile Delivery Automation Bellevue, Washington, USA We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms and models that power our autonomous vehicle perception, prediction, and decision-making systems. You will combine rigorous scientific methodology with practical engineering to solve complex problems in real-world autonomous navigation and delivery. Key job responsibilities - Design and develop advanced machine learning models and algorithms for autonomous vehicle systems - Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning - Transform research concepts into production-ready solutions that meet strict safety and performance requirements - Develop novel approaches to solve complex technical challenges in autonomous navigation - Create and implement metrics and evaluation frameworks to measure model performance - Collaborate with engineering teams to integrate ML solutions into the autonomous vehicle stack - Publish research findings and represent Amazon at technical conferences - Mentor junior scientists and contribute to building a culture of scientific excellence A day in the life A typical day for a Senior Applied Scientist begins with analyzing experimental results from recent model deployments. They might spend the morning developing new deep learning architectures for sensor fusion or improving prediction models for pedestrian behavior. Mid-day could involve collaborating with engineering teams to optimize model performance and reduce inference latency. Afternoon activities might include designing experiments to validate new approaches, reviewing research papers for

Data Science Lead (Hybrid) TEL AVIV, ISR posted: Posted Yesterday

Sr. Applied Scientist, Amazon Ads Seattle, Washington, USA Application deadline: Applications will be accepted on an ongoing basis Amazon Ads is re-imagining advertising through cutting-edge generative artificial intelligence (AI) technologies. We combine human creativity with AI to transform every aspect of the advertising life cycle-from ad creation and optimization to performance analysis and customer insights. Our solutions help advertisers grow their brands while enabling millions of customers to discover and purchase products through delightful experiences. We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground in product and technical innovations. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Why you'll love this role: This role offers unprecedented breadth in ML applications and access to extensive computational resources and rich datasets that will enable you to build truly innovative solutions. You'll work on projects that span the full advertising life cycle, from sophisticated ranking algorithms and real-time bidding systems to creative optimization and measurement solutions. You'll work alongside talented engineers, scientists, and product leaders in a culture that encourages innovation, experimentation, and bias for action, and you'll directly influence business strategy through your scientific expertise. What makes this role unique is the combination of scientific rigor with real-world impact. You'll re-imagine advertising through the lens of advanced ML while solving problems that balance the needs of advertisers, customers, and Amazon's business objectives. Your impact and career growth: Amazon Ads is investing

Applied Machine Learning Engineer New York, NY; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and operationalizing machine learning models that drive business value and enhance user experiences. This is a hands-on engineering role that combines deep technical expertise with a strong customer focus to deliver scalable AI solutions. Key Responsibilities: - Customer Success: Collaborate directly with the GTM team (Account Executives and Solutions Architects) to ensure smooth integration and successful deployment of ML solutions. - Demo / Proof of Concept (PoC): Build and present compelling PoCs that demonstrate the capabilities of our AI technology. - Application Build: Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. - Platform Features / Bug Fixes: Contribute to the internal ML platform, including adding features and resolving issues. - New Model Enablements: Integrate

Specialist Solutions Architect - Data Engineering & Warehousing United States P-226 As a Specialist Solutions Architect (SSA) - Data Engineering & Warehousing , you will guide customers through cloud data engineering and warehousing transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: - Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. - Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. - Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. - Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. - Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. - Provide tutorials and

Electronics Design Engineer

Senior Applied Scientist, Funnel Agentic Intel Seattle, Washington, USA Amazon Ads is building Ads Agent, an AI-powered agent that understands advertiser intent, reasons over campaign strategy, and executes across the full Amazon Ads portfolio. If you want to work at the frontier of agentic AI and large language models while directly impacting a multi-billion dollar business, this is your team. We are seeking an experienced Applied Scientist passionate about building intelligent agents that reason, plan, and act across complex advertising workflows. Ads Agent is an AI agent that simplifies how advertisers plan, launch, and optimize campaigns. Powered by AI, Ads Agent works alongside advertisers to automate time-consuming tasks, like identifying targeting segments, adjusting pacing across hundreds of campaigns, and generating SQL queries for advanced analytics. It also provides data-driven recommendations and simplifies analysis-all while providing transparency and control. With a broad mandate to experiment and innovate, we need applied scientists to define and build the future of advertising. Key job responsibilities - Design, build, and evaluate agentic systems that plan multi-step workflows, invoke tools, and take autonomous actions across Amazon Ads products on behalf of advertisers. - Define evaluation frameworks and benchmarks for agent reliability, correctness, safety, and advertiser satisfaction. - Analyze agent behavior through deep data analysis and rigorous A/B experimentation to identify failure modes, measure effectiveness, and derive business insights. - Partner with engineers, product managers, and UX designers to ship end-to-end agent experiences that are scalable, efficient, and reliable at Amazon scale. About the team We are

Cloud Service Engineer SG

Senior Creative Director, Energy, Global Jordan Beaverton, Oregon posted: Posted 16 Days Ago

Sr. Applied Scientist, Seller Fee Science Bengaluru, Karnataka, IND Amazon's third-party marketplace is a multibillion-dollar global ecosystem, connecting customers and sellers across the world through millions of transactions annually. The Seller Fee Science Team integrates economic modeling, machine learning, and artificial intelligence to guide business fee strategy, ensure fees are accurately computed for millions of products, and improves the seller experience with AI tools that support any fee related contact (understanding, audit, and dispute). We build the scientific foundation that empowers sellers to grow their businesses with clarity and confidence. Our team brings together world-class economists, physicists, mathematicians, and computer scientists to tackle diverse challenging problems that require theoretical rigor and deliver real-world impact. For example, measurement of item dimensions (what are the dimensions of a bag of apples?) , large-scale simulation of policy changes (how do marketplace dynamics change when...), Leveraging AI to simplify/document fee policy, resolve disputes, and provide detailed fee explanations to our sellers (explain how this fee is computed and what can be done to reduce costs). As a Senior Applied Scientist on our team, this role will lead the application of machine learning and artificial intelligence to predict and reconcile measurement of products globally. This blends together statistical modeling, application of NLP, image processing, classical machine learning, cost-benefit analysis, causal modeling, and optimization. You will partner closely with engineers and product partners to take your solutions from research to production. You will also help to set the team direction, influence partner teams across product and

Software Engineer, Platform & Infrastructure United States Location: United States (remote) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence-replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role You will be a member of the technical staff designing, building, and maintaining the next generation of platform and infrastructure surfaces at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations such as observability, system reliability, developer productivity, identity management and role-based access controls, authorization and authentication middleware, security, and related data and control planes. You will drive the implementation of our high availability roadmap and enhance our cloud-native service-oriented architecture. Your expertise will bolster the efficiency and scalability of workloads within our cloud environment, ensuring that our development teams can build software effectively and operate reliably. You enjoy working on data solutions (however big or small)

Specialist Solutions Architect - Data Engineering United States FEQ327R257 As a Specialist Solutions Architect (SSA) - Data Engineering , you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: - Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. - Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. - Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. - Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. - Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures. - Provide tutorials and training to improve community adoption (including

Quality Engineer ( Evergreen) Dublin posted: Posted 30+ Days Ago

Staff Machine Learning Engineer – Ads Platform Austin, United States of America At Apple, we focus deeply on the customer experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1 ! . Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to news publishers to big, global brands. Because when advertising is done right, it benefits everyone. Apple Ads is Hiring a hands-on Machine Learning Engineer. In this role you will build design and build Machine learning systems and data pipelines to safeguard the advertiser trust of our platform and enhance invalid traffic protections. You will define and execute an innovation roadmap; build and deploy models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning, calibration, and drift detection to deliver measurable improvements in product quality, user experience, latency, and cost. Develop and manage end-to-end lifecycle of machine learning models, including observability for large-scale, high-throughput, and low-latency production systems. Design, develop, and optimize distributed algorithms and data processing frameworks(e.g., Spark). Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets. Reinforce Ads integrity and advertiser trust by safeguarding infrastructure. Solve complex problems

Machine Learning/ GenAI Engineer Vilnius What success looks like in this role: You´ll work closely with Engineering teams and colleagues, helping them build product features based on AI / ML models. Acting solution-driven in the creation of feature / solutions within the team is natural Within agile teams you´ll be contributing to the definition of code and ML quality standards and ensuring consistent tracking as well as holding yourself accountable for assigned project and/or sub-projects You´ll participate in design discussions regarding key elements of new and existing AI / ML services. Connects AI / ML technology with Unisys and clients

Business Analyst Energy Sector BEL - VAN - MECHELEN posted: Posted 30+ Days Ago

Staff Manufacturing Engineer Newark, Delaware posted: Posted 30+ Days Ago

售前解决方案工程师 China 工作职责： 1.与潜在客户的技术团队沟通，深入理解其需求，基于技术需求筛选并锁定目标客户群体。 2.设计并展示基于 Alluxio的解决方案，设计并完成POC。 3.协同销售团队进行市场开拓，拜访现有客户及潜在客户，收集反馈，洞察市场与技术趋势。 4.向产品团队传递客户需求及市场洞察，推动客户需求与 Alluxio的roadmap保持一致。 任职资格： 1.具备7年以上AI/ML 领域的开发、解决方案架构设计或技术架构设计的经验。 2.熟悉 Java 和 Python，有 Shell 脚本和 Go 语言经验者优先。 3.满足以下至少两项要求： 1）熟悉大数据生态系统，精通至少一种计算框架（如 Hadoop/Spark/Presto/Impala/Flink），熟悉一种及以上存储系统（如 HDFS/S3/Ceph），并具备实际开发或解决方案设计经验。 2）熟悉 AI/ML 框架（如 TensorFlow、PyTorch ），有相关工作经验。 3）熟悉 Kubernetes，具备基于 K8s 的开发经验或解决方案设计经验。 4.熟悉 Linux与 Docker，具备实际操作经验。 5.自驱力强、富有团队精神、学习能力快。

Sr. Applied Scientist, Pricing Science Seattle, Washington, USA We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon. This role requires an individual with exceptional machine learning modeling and architecture expertise - particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit. We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment. Key job responsibilities See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale. Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures - including sequence models and transformers - for large-scale price prediction and optimization. Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization

Senior Backend Software Engineer (UK) London Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 500+ across Paris, London, New York, San Francisco, and Toronto, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. Our Engineering team Our Engineering team is responsible for developing our SaaS platform and building a comprehensive and user-friendly product. Pigment engineers participate in the entire application development lifecycle, focusing on design, coding, and keeping the production platform up and running. They can be specialized, but there is no strict separation between the backend and the frontend. We value user-centricity and pragmatism: we choose the most relevant tools for the problem we have to solve, understanding the strengths and constraints of each technology. Our engineering

Senior Staff Engineer Yield & Stability Excellence Melaka (Malaysia)