Engineer 6 Jobs

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From “How do I fix a leaky faucet?” to “What should I watch next?”, the Answers Relevance team leverages AI to connect people with the real-world wisdom of Reddit communities. We’re hiring Senior and Staff Machine Learning Engineers to make Answers smarter, more relevant, and more helpful. Our SOTA AI systems helps surface the right conversations, but the heart of Answers is still people helping people ~ Redditors sharing what they know with each other! What You’ll Work On You’ll lead ML projects from idea to production, partnering with Product, Data Science, and Engineering across recommendations, search, messaging, and AI systems. You don’t need experience in every area listed below. A background in a few may make you a great fit! Recommendations, search, content understanding, or large-scale data and ML infrastructure SOTA large scale RecSys Foundational retriever models RAG systems, retrieval methods, LLM evaluation, or production LLM features Agentic AI, such as tool calls, MCPs, multi-agent systems, or orchestration Self-hosted open-weight models such as Qwen or Llama; prompt engineering, fine-tuning, post-training, or prompt optimization Improving grounding, instruction following, and hallucination; evaluating retrieval and generation quality Scaling LLM systems, including latency, caching, and cost; safety measures for prompt injection and unsafe

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Responsibilities: Ensure site operations, including incident management and escalation in accordance with approved Client/JLL procedures. Plan, assign and supervise planned and reactive activities utilizing the CMMS platform. To check on site repair and maintenance carried out by subcontractors to ensure work completion. Ensure the implementation of safe systems on site activities. Implement regular inspections of the facility on energy conservation, maintenance practices, utility management and risk management procedures. Co-ordinate meetings periodically with contractors to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below Provide training to on-site teams on equipment operational procedures, including emergency procedures and requirements. Co-ordinate and maintain the site asset database, provide updates in accordance with CMMS requirements. Prepare and provide input to the site’s monthly reporting for client. Ensure compliance with statutory regulations on fire, health and safety standards. Ensure all safety procedures, including Crisis Man

About the Team The Decision Systems team helps DoorDash teams make faster, more rigorous, and more trustworthy decisions. We build the analytical systems, statistical methods, and product experiences that power experimentation, causal inference, rollout analysis, metric interpretation, and business impact measurement across DoorDash’s three-sided marketplace. Curie is DoorDash’s experiment analysis product within Decision Systems. It sits at the center of how teams move from hypothesis to analysis to confident action, helping decision makers understand experiments, rollouts, metric movements, and marketplace impact while preserving scientific rigor, velocity, trust, and interpretability. Our work spans experimentation platforms, causal inference, variance reduction, switchback experimentation, metric systems, and AI-assisted analysis workflows. We partner closely with data scientists, engineers, product managers, and operators across DoorDash to translate advanced methods into reliable, scalable systems that improve decision quality and product velocity. Some of the work done in the team was published in articles such as: Design-Aware Variance Reduction for Switchback Experiments: A Comparative Study , Power-Optimal Covariate Adjustment for Switchback Experiments , CUPED on Steroids: Multivariate Covariate Adjustment for Switchback Experiments . About the Role We are looking for a Staff Applied Scientist to provide scientific leadership for DoorDash’s Experimentation Platform. In this role, you will define and advance the statistical, causal inference, machine learning, and AI capabilities that power high-quality decision-making across DoorDash. You will work on challenging problems at the intersection of experimentation, marketplace dynamics, machine learning, and product engineering. Your work will shape how DoorDash teams design experiments, analyze results, interpret noisy marketplace outcomes, and make faster, more trustworthy decisio

Senior ServiceNow Engineer – Strategic Portfolio Management (SPM) Location: Tampa, FL – USCENTCOM J6 Program: USCENTCOM Information Technology Services (CITS) Clearance: Active Secret (TS/SCI Eligible) Work Schedule: Onsite with potential hybrid flexibility (4 days onsite, 1 day remote) Help Power a Mission That Matters! Leidos is looking for a Senior ServiceNow Engineer specializing in Strategic Portfolio Management (SPM) to support the USCENTCOM J6 mission in Tampa, Florida. This is an exciting opportunity to work with a talented engineering team supporting critical Department of Defense IT operations. In this role, you'll be the hands-on technical expert for ServiceNow SPM, helping improve how the organization manages projects, resources, budgets, and strategic priorities. We're looking for someone who knows how to build, configure, troubleshoot, and improve ServiceNow SPM solutions while keeping the platform secure, reliable, and easy to maintain. This is a hands-on engineering role, not just a ServiceNow administrator or project management position. What You'll Do Configure, implement, and maintain ServiceNow Strategic Portfolio Management (SPM/PPM) capabilities. Support Demand Management, Project Management, Resource Management, Financial Management, and Strategic Planning. Develop and improve workflows, business rules, client scripts, forms, and UI policies. Build dashboards, reports, and KPIs to improve project and portfolio visibility. Develop integrations between ServiceNow SPM and other modules, including ITSM and CMDB/ITOM, using REST and SOAP. Work with business analysts and stakeholders to turn requirements into effective technical solutions. Evaluate existing customizations and use out-of-the-box ServiceNow functionality whenever possible. Troubleshoot applicatio

Lead Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description Responsibilities: Design and develop scalable data processing systems; Implement and maintain data pipelines

Lead AI Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory , our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises. Get to know us at genpact.com and on LinkedIn , YouTube , X , and Facebook . Job Description We are seeking an experienced Lead AI Engineer with deep expertise in Micro

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview About the Role - As a Senior Sales Engineer at Instacart, you'll have a unique opportunity to drive adoption of our flagship, industry leading ecommerce products and services directly to the largest retailers in North America and across the globe. This role requires you to lead consultative, technical-focused discussions with external and internal stakeholders, supporting new implementations and integrations. With your expertise, you'll guide customers through the sales cycle, providing both technical and product knowledge. Collaborating with cross-functional teams will give you a holistic understanding of Instacart's technical capabilities. About the Team - You’ll join our Sales Engineering team, working at the intersection of Business Development, Product, Engineering, and Enterprise Solutions. We collaborate as one team to bring Instacart’s ecosy

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview About the Role - As a Senior Sales Engineer at Instacart, you'll have a unique opportunity to drive adoption of our flagship, industry leading ecommerce products and services directly to the largest retailers in North America and across the globe. This role requires you to lead consultative, technical-focused discussions with external and internal stakeholders, supporting new implementations and integrations. With your expertise, you'll guide customers through the sales cycle, providing both technical and product knowledge. Collaborating with cross-functional teams will give you a holistic understanding of Instacart's technical capabilities. About the Team - You’ll join our Sales Engineering team, working at the intersection of Business Development, Product, Engineering, and Enterprise Solutions. We collaborate as one team to bring Instacart’s ecosy

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 7+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap

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 . As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively. What you'll do: Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions. Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery. Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time. Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and saf

About Datadog We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at a high scale - trillions of data points per day — providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity User safety and platform integrity is critical to our business. Our customer’s success is our success. We’re looking for a Senior Security Engineer to join us in taking a proactive, highly scalable, and data-centric approach to enabling a safe and trustworthy experience for the users of our rapidly growing and increasingly interactive platform. You’ll fight against threats to our users, platform abuse, and other potentially risky and unwanted behaviors on our platform. Our team covers a broad range of trust and safety related topics including software engineering, data science, user engagement, privacy, threat detection, incident response, and bridging gaps between security and the broader Datadog business. You will bring expertise in a few of these areas. You’ll join a growing security team at an ideal time for making a big impact. Datadog is growing rapidly, and AI-assisted development is increasing both the pace of software delivery and the amount of activity generated by AI agents. The product is seeing very high growth, with the platform becoming more interactive and new products and features developed regularly. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Have a direct impact on customers and their overall trust of our platform. Drive the technical roadmap in colla

Husky is what we call the distributed, petabyte-scale columnar event store at the heart of our Event Platform, which powers dozens of Datadog’s most popular products – Logs, RUM, APM, Cloud Network Monitoring, Netflow, and many more. Husky was built from the ground up at Datadog to store and query massive volumes of event data at low cost, with data fully queryable within seconds of arrival. As a Senior Software Engineer on this team, you'll work hands-on with a distributed storage system at petabyte scale, and help us evolve our platform to support the next level of scale that will power the AI era. We will move from a custom storage format towards open standards (Parquet, Arrow, DataFusion) enabling on prem solutions, increasingly complex analytical/batch workloads, and powering AI observability, sustainably into the future. You'll partner closely with Husky Ingestion, Metadata, and Platform, and increasingly with Lakehouse on the Iceberg-compatible boundary between Husky and analytical/batch workloads. You will also work with the open source community to build the next generation of reusable software solutions that can be operated at scale. Datadog has a culture that is increasingly rare in mature technology companies. We are an engineering driven, bottom up, high agency/high responsibility culture–where everyone is empowered and expected to drive the technological and strategic direction of the business over time. We are a blameless culture where we believe supporting each other through challenges produces the best outcomes over time and our track record corroborates this. We are open source champions. We believe in the flexibility of working remotely but also the value of bringing people together across our various offices worldwide–and our offices are nice places to work. What You’ll Do: Drive Husky to the next level of adoption by migrating our storage format to open source Parquet and re-imagine compaction on a format-agnostic, Data

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Ledger Engineering team enables rapid financial product innovation by providing an audit-grade ledger platform that ties ambitious company growth to a highly regulated industry's real-world accounting controls. We are passionate about building robust, fault-tolerant, highly scalable systems that enable us to be on-time and precisely accurate in every financial interaction we have both with our consumers and institutional finance partners. Ledger Engineering works with our finance partners to support everything from closing our monthly books to annual audits. We bridge the technical gap between data, strategy, and the thorough level of accounting detail required to operate a publicly-traded company. Outside of accounting, we partner with the Capital Markets team to help open our business to investors who require a similar forensic level of reporting. What you'll do You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through yo

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Lead the design, implementation, and operation of training performance optimizations (data/tensor/pipeline parallelism, mixed precision, gradient checkpointing, GPU kern

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake redefined the data landscape over a decade ago, and our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. We believe Generative AI is the key — we are building products that don't just move data, but understand and rewrite the logic of entire data applications. We are seeking a Manager, Frontier Engineering (Migrations) to sit at the intersection of customer delivery and product engineering. This is a unique hybrid role: you will lead a team of forward-deployed engineers who work directly with customers and partners on complex migration projects while simultaneously driving the development of AI-powered migration tools and products. Your team will be the bridge between field realities and product innovation — turning hard-won migration patterns into scalable, automated solutions. AS A MANAGER, MIGRATI