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ReqID: FEQ427R149 Location: London Skills: Networking, Security, Platform, DevOps, Databricks, Cloud - AWS, GCP, Azure, Infrastructure - First preference would be GCP experience Recruiter: Dina Hussain As an Infrastructure & Platform Specialist Solutions Engineer, you will serve as a trusted technical advisor, helping enterprise customers with the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine solid technical expertise with a growing ability to connect architecture decisions to customer outcomes. The Impact You Will Have Guide enterprise customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment Architect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards Act as a technical specialist in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management Support technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions Collaborate with cross-functional resources (DSAs, SAs, FDE, Partners) to contribute to solutions for complex customer needs Operate with growing autonomy on well-scoped engagements, with guidance from senior architects on the most complex designs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 4+ years in solutions architecture, technical pre-sales, or a Network architecture hands-on technical role Strong expertise across the following areas: Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-

Pacote Office. ESCOLARIDADE Nível de Formação: Engenharia de Produção, Elétrica, Civil, Planejamento, Automação, Instrumentação, Mecânica ou outras áreas correlatas à especialidade. ATRIBUIÇÕES Atuação nas medições mensais no Sistema de Medição; Consolidação de documentos técnicos da empresa executora da obra no GED; Acompanhamento dos testes dos equipamentos; Assessoramento técnico na análise de registro de ocorrências do contrato, via RDO; Atuação nas atividades de Projeto na verificação e consolidação de memórias de cálculo e folhas de dados de instrumentos e válvulas da disciplina de instrumentação e automação; Controle das respostas das solicitações de informações técnicas (SIT) e das solicitações de interface (SINs); Controle e acompanhamento da completação da documentação final do produto (Data-Book e “as built”); Controle e verificação de Relatórios de Modificações de Campo (RMC) e Relatórios de Não conformidade (RNC), utilizando sistema informatizado; Elaboração de documentação técnica para contratação; Elaboração de relatórios gerenciais e apresentações técnicas para subsidiar decisões; Levantamento de quantitativos baseado em análise de projeto e/ou apurados em campo para subsidiar a elaboração de relatórios e/ou documentos para contratação; Levantamento de serviço realizado e/ou a ser realizado referentes obras remanescentes; Monitoramento e análise crítica de Indicadores de desempenho; Monitoramento e Registro de Lições Aprendidas e Boas Práticas na fase de execução do empreendimento; Planejamento, aplicação, controle e análise crítica de Listas de Verificação (LV) através de sistema informatizado; Realização de reuniões periódicas e interface com fornecedor e projetistas; Verificação da exequibilidade do Cronograma da empresa executora da obra na respectiva disciplina; Verificar as informações nos relatórios e documentos emitidos pela empresa executora da obra, apontando necessidade de correção; Verificar os documentos emitido

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Credit team protects Stripe by managing the end-to-end risk of our largest and most complex users. We leverage deep underwriting expertise and data-driven stress heuristics to make informed decisions at every stage of the user lifecycle—from onboarding to loss recovery. Our goal is to enable Stripe's growth by making confident, calibrated decisions on our highest-exposure users. What you’ll do Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company's financial and partnership success. As a Credit Risk Analyst Commercial Underwriter on the North America Strategy Risk team, you'll underwrite and manage a portfolio of our largest and fastest-growing businesses to facilitate growth objectives while minimizing credit risk. This is a high-impact role that involves strong cross-functional partnership with Sales, Legal, Treasury, and Finance. This role is assigned to West Coast hours, with a high preference for candidates in the Pacific time zone. Responsibilities Work directly with our top merchants, from successful venture-backed startups to well-established institutions, to evaluate their business models and financial statements Provide tailored credit risk recommendations that mitigate Stripe exposure, while facilitating partner company growth Help manage the portfolio by developing a deep understanding of risk across industries, geographies, and

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

About the Team & Role: We're building SAGE , Rubrik's Semantic AI Governance Engine, which is the first system designed to monitor, govern, and remediate autonomous AI agents in real time. SAGE powers Rubrik Agent Cloud: enterprises define governance policies in natural language, and SAGE's custom small language models act as judges on every agent action. These models are fast enough to sit in the live request path and accurate enough that customers trust them with allow/block decisions on production traffic. At its core, SAGE is "LLM-as-judge" applied to AI governance, utilizing the same technique most teams use for offline evaluation but productionized for real-time enforcement at enterprise scale. Our first-generation SLM Policy Guard already outperforms the larger frontier models we've benchmarked against on accuracy while running approximately 5x faster on the same workload. We're hiring to push that lead even further. As an Applied ML Engineer on the SAGE team, you'll work end-to-end across the model lifecycle: curating data, training small models, serving them at production latency, and closing the feedback loop with real customer signals. The models you build don't just enforce policies in the live request path; they will also drive Agent Rewind, Rubrik's capability to instantly and precisely undo destructive autonomous-agent actions and restore the affected data to a trusted state. We're a collaborative, applied team that ships models to enterprise customers within weeks, and we're passionate about proving that small, specialized models can outperform frontier LLMs at the problems that matter most for AI safety and governance. Nature of the Specialized Duties ➢ Training, Fine-Tuning, and Distilling Production Small Language Models and Classifiers (25% of time) Owning the full training lifecycle for the SLMs and classifiers in SAGE's real-time enforcement path, including base-model selection, supervised fine-tuning, preference optimization (DPO/RLA

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. Why Perplexity is Different Craftsmanship . We build high quality, tasteful products targeting both AI native and AI curious users. Ownership . You identify the problem, design the solution and ship it. Entrepreneurship . We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship . Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership . We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. Design the decision layer that balances competing objectives to produce the best overall experience for the user. Build the data and evaluation foundations that let these syst

Salary Range: (Determined during interview process, based on technical fit for each level of role) Staff Engineer - PLN 350,700 - 474,400 + Benefits + Equity Senior Engineer - PLN 260,400 - 352,200 + Benefits + Equity Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 3 Days per week in office About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will turn complex system behaviour into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn uncertainty into new measurements. Your work will help infrastructure engineers, architects and application specialists understand performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, a clear preference for evidence over opinion and a desire to explore complex systems beyond the obvious. The team and culture The System QA team is distributed across multiple locations so we work deliberately to stay connected. Daily team meetings create space to share ideas, ask questions, discuss findings and solve problems together. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. Decisions are guided by evidence, clear communication and a willingness to challenge assumptions. Your manager will trust you to follow the evidence w

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to d

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Credit team protects Stripe by managing the end-to-end risk of our largest and most complex users. We leverage deep underwriting expertise and data-driven stress heuristics to make informed decisions at every stage of the user lifecycle—from onboarding to loss recovery. Our goal is to enable Stripe's growth by making confident, calibrated decisions on our highest-exposure users. What you’ll do Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company's financial and partnership success. As a Credit Risk Analyst Commercial Underwriter on the North America Strategy Risk team, you'll underwrite and manage a portfolio of our largest and fastest-growing businesses to facilitate growth objectives while minimizing credit risk. This is a high-impact role that involves strong cross-functional partnership with Sales, Legal, Treasury, and Finance. This role is assigned to West Coast hours, with a high preference for candidates in the Pacific time zone. Responsibilities Work directly with our top merchants, from successful venture-backed startups to well-established institutions, to evaluate their business models and financial statements Provide tailored credit risk recommendations that mitigate Stripe exposure, while facilitating partner company growth Help manage the portfolio by developing a deep understanding of risk across industries, geographies, and

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Travel to customer facilities and lead inspection, installation, and servicing visits for Kargo’s customers. Install Kargo towers and other hardware products at customer facilities. Coordinate with contractors at customer sites for electrical work, forklift modifications, and installation assistance. Coordinate tower and tool shipping from Kargo inventory to customer sites. Work with Manufacturing to provide configs and specs determined from site visits to customers. Work with our Product and Hardware teams to make engineering recommendations to simplify installation and relevant features. Interact with customers at on-site visits. This is not a sales role and most customer visits will include people from Kargo’s Sales, Product, and Customer Success teams. Still, this role will involve coordinating with customers to discuss timing and installation preferences. High expectation for travel, you must be comfortable with near 90% travel. Experience 3+ years of experience servicing industrial equipment, vehicles, utilities, robots, or similar. Expertise in mechanical, electrical, and optical troubleshooting. Preference for someone who has worked across all three systems. High availability for short-

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques Implement preference optimization and personalization capabilities to enhance user experience Invent in-house improvements and optimizations to enhance SOTA models Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation Own full-stack data, training, and evaluation pipelines required for model development Build robust and effective training frameworks (on

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Senior Director, Generative AI About the Role Roblox Build is our generative creation product, the platform where creators design, build, and publish 3D experiences. We are looking for a Senior Director of Generative AI to lead the Applied AI organization inside Build, responsible for turning state-of-the-art foundation models into high-quality, reliable creation systems at Roblox scale. This leader will own the full applied AI stack: model strategy and routing, model adaptation and fine-tuning, code generation (CodeGen), 3D layout generation (LayoutGen), and the evaluation science and infrastructure that tells us what actually works. You Will Own model strategy and routing for Build. Design and build an intelligent model layer that selects the right model for each creation task based on quality, capability, latency, cost, and safety, leveraging both frontier models and Roblox-adapted open-source models. Lead model adaptation across the Applied AI org, including fine-tuning, distillation, synthetic data generation, human feedback pipelines, and preference optimization for Roblox-specific creation tasks such as Luau code generation and 3D scene understanding. Drive CodeGen capabilities

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The residency You own one hard problem end to end. You write the proposal, build the system, design the evaluation, ship behind a gate, and finish with a write-up of what turned out to be true, including the parts that didn't work. You'll sit in the production codebase with a senior mentor and real production data. Recent residents have shipped self-improving harnesses, inference-cost work, agent memory, and eval infrastructure. Your project gets scoped with you, not handed to you. The problem space The loop we care about: production traces become data, data becomes training and evaluation, and better agents produce better traces. Projects live somewhere on that loop. Harness and inference-time work. Context engineering, tool and skill design, orchestration, and deciding where extra inference compute actually pays. Self-improvement loops run behind hard fences. Post-training for agents. SFT on curated trajectories, preference optimization, RL on real agent tasks. Reward design where outcomes are verifiable, process vs. outcome supervision, distilling frontier behavior into cheaper models. Environments and rewards. Turning enterprise workflows into training

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of text, video, and multimodal models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Drive mid-training and post-training research for multimodal foundation models — continued/mid-training on large-scale interleaved vision-text and video-audio corpora, supervised fine-tuning, and reinforcement learning to advance image, video, and video-audio understanding. Own the RL stack for multimodal post-training: reward modeling, preference optimization and RLVR-style verifiable rewards, policy optimization (PPO / GRPO / DPO and variants), rollout and sampling strategies, and mitigation o

Rejoignez-nous dans notre voyage et aidez-nous à collaborer à notre nouveau jeu : Blood Message. Le jeu se déroule dans la Chine historique et propose un style visuel réaliste ainsi qu'un gameplay de combat traditionnel authentique. Le projet utilise Unreal Engine 5 et est co-développé en collaboration entre Montréal et notre studio principal en Chine. Nous sommes un studio de co-développement de jeux vidéo basé à Montréal, au Canada, qui s'engage à offrir des expériences de jeu exceptionnelles. Notre équipe collabore étroitement avec notre siège social en Chine. Le poste est actuellement ouvert aux candidats de Montréal ou de Toronto. En tant que Chef d'équipe - Artiste de niveau , vous serez le fer de lance de la création, de la conception et de l'intégration de niveaux visuellement captivants et axés sur le gameplay. En étroite collaboration avec le directeur artistique en Chine, les concepteurs de niveaux et les équipes pluridisciplinaires, vous veillerez à ce que la vision artistique s'aligne sur l'authenticité culturelle, l'efficacité technique et l'excellence du gameplay, en créant des environnements immersifs qui trouveront un écho auprès des joueurs du monde entier. A quoi ressemblera ton quotidien : Leadership et vision artistiques : Collaborer avec le directeur artistique pour définir et mettre en œuvre la direction artistique des niveaux du jeu, en veillant à ce que les environnements soient visuellement saisissants, authentiques par rapport à la Chine historique et équilibrés par rapport aux fonctionnalités du jeu. Apporter des idées novatrices pour façonner le style visuel, en s'inspirant de l'histoire, de la culture, des films et de l'art chinois. Recherche et authenticité culturelle : Effectuer des recherches sur la géographie, l'architecture et les éléments culturels de la Chine historique afin de garantir l'authenticité de la conception des niveaux. Utilisez les documents de référence pour guider la licence artistique tout en conservant une