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Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows. _______________________________________________________________________ WHAT YOU'LL WORK ON The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like: - How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back? - How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously? - How do we build infrastructure that scales with usage-based billing workloads without manual intervention? - How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling? _______________________________________________________________________ RESPONSIBILITIES - Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability - Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team - Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability - Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation - Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written - Identify systemic risks and drive improvements that span team or organizational boundaries - Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Mentor engineers across the team; your technical judgment should raise the floor for everyone. _______________________________________________________________________ QUALIFICATIONS - 8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale - Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents - Expert-level Terraform; you've designed reusable module patterns and set standards others follow - Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them - Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership - Kubernetes at an operational and architectural level - A track record of identifying systemic risks and driving improvements that span team or organizational boundaries - Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement - Strong written English; at Staff level, written communication is how you scale your influence across teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience WHAT SETS YOU APART You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are. FIRST 90 DAYS You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction. ONE YEAR OUTLOOK You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site preferred; hybrid/remote considered for exceptional candidates (must be willing to work on-site at least one week per month) 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Relocation assistance is available for qualified candidates. Candidates working remotely or in a hybrid capacity must be willing to travel and work on-site in Montreal for at least one week per month . About the Role We are seeking a Senior FDIR-FSW Systems Engineer to support the design, analysis, and verification of Fault Detection, Isolation, and Recovery (FDIR) systems for advanced LEO and MEO satellite programs. In this role, you will work closely with multidisciplinary engineering teams to develop robust fault management strategies, analyze satellite systems and subsystems, and ensure flight software reliability through verification, validation, and testing. The ideal candidate has extensive experience with satellite flight software, systems engineering, and FDIR methodologies within mission-critical aerospace environments. Key Responsibilities Design and analyze Fault Detection, Isolation, and Recovery (FDIR) strategies for satellite systems. Perform systems engineering analysis for satellite platforms and subsystems. Conduct failure analysis using FMECA and Fault Tree Analysis (FTA) methodologies. Evaluate how failures propagate across system and subsystem levels. Develop fault management strategies by tracing failures from system-level to unit-level components. Support the design, verification, validation, and testing of satellite flight software (FSW) for FDIR. Collaborate with cross-functional engineering teams to ensure system reliability and mission success. Contribute to system integration, testing, and operational readiness activities. Apply industry standards and best practices for FDIR development and verification. Required Qualifications Bachelor's degree in Electrical Engineering, Computer Science , or a related engineering discipline. 10+ years of relevant engineering experience (advanced degrees may be considered in lieu of some experience). Experience supporting LEO and/or MEO satellite systems . Strong cross-functional collaboration and systems engineering experience. Experience analyzing satellite systems and subsystems. Familiarity with Failure Modes, Effects, and Criticality Analysis (FMECA) and/or Fault Tree Analysis (FTA) . Strong understanding of failure propagation across complex systems. Ability to decompose system-level failures to the unit level and evaluate their overall system impact. Knowledge of satellite Flight Software (FSW) and FDIR monitoring concepts. Experience testing hardware and software components supporting FDIR functionality. Preferred Qualifications Experience with ECSS-E-ST-70-41C standards. Experience with PUS-based FDIR verification, validation, and testing. Experience supporting satellite flight software development and mission assurance. Familiarity with ESA standards and aerospace systems engineering best practices.

Location: Costa Mesa, United States 📍 Location: Costa Mesa, California, USA 📄 Employment Type: Full-Time 🏢 Work Arrangement: On-site/Remote 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be a U.S. Citizen or U.S. Permanent Resident (Green Card holder) . Must be eligible to obtain and maintain an active U.S. Department of Defense (DoD) Secret Security Clearance . Candidates should have a strong interest in supporting advanced defense and national security programs. About the Role We are seeking an experienced Senior Electrical Engineer, EMI/EMC Design to lead EMI/EMC design, analysis, testing, and mitigation activities for advanced electrical and electronic systems. In this role, you will work across the product development lifecycle to identify and resolve electromagnetic compatibility challenges, support PCB and system-level design, and ensure compliance with applicable military and industry standards. Key Responsibilities Lead EMI/EMC design, analysis, testing, and mitigation activities for complex electrical systems. Perform Electromagnetic Environmental Effects (E3) analysis and develop mitigation strategies. Support specialized E3 areas including HERO, HEMP, lightning protection, ESD, RF exposure limits, and operational electromagnetic compatibility . Plan and execute EMI/EMC testing using laboratory equipment such as spectrum analyzers, oscilloscopes, antennas, and LISNs. Use simulation tools to analyze and troubleshoot EMI/EMC issues. Review PCB layouts and electrical designs to ensure mechanical, electrical, EMI/EMC, and manufacturing requirements are met. Read and interpret schematics and recommend appropriate design practices, grounding, filtering, and protection techniques. Collaborate with electrical, mechanical, software, firmware, and systems engineering teams to resolve EMI/EMC issues. Prepare technical reports, test documentation, and engineering recommendations. Manage multiple engineering activities while meeting technical and schedule objectives. Required Qualifications Bachelor's degree in Electrical Engineering, Electronics Engineering , or a related field. 7+ years of experience in EMI/EMC design and testing . Familiarity with EMC/EMI standards and regulations, including: MIL-STD-461G MIL-STD-464D RTCA DO-160 FCC IEC CISPR SAE Proven expertise in E3 design, analysis, testing, and mitigation . Experience with HERO, HEMP, lightning protection, ESD, RF exposure limits , and operational electromagnetic compatibility. Hands-on experience with EMI/EMC test equipment, including: Spectrum analyzers Oscilloscopes Antennas LISNs Experience using simulation tools such as ANSYS and CST Microwave Studio for EMI/EMC analysis. Strong understanding of PCB layout techniques , including multilayer design, grounding, filtering, and EMI/EMC considerations. Ability to read and interpret electrical schematics. Familiarity with interfaces such as MIPI, DisplayPort, I2C, SPI, PCIe, and USB . Strong analytical, troubleshooting, communication, and organizational skills. Preferred Qualifications Experience supporting aerospace, defense, or other high-reliability electronic systems . Experience leading EMI/EMC compliance activities from design through testing and qualification. Experience with complex embedded electronic systems and mixed-signal PCB designs. Strong understanding of electromagnetic compatibility considerations across system, PCB, and component levels. Active U.S. DoD Secret Security Clearance .

Location: Costa Mesa, United States 📍 Location: Costa Mesa, California, USA 📄 Employment Type: 6-Month Contract 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be available to work 100% on-site in Costa Mesa, CA, Monday–Friday . Must be eligible to obtain and maintain an active U.S. Secret Security Clearance . Must have 5+ years of hands-on electrical engineering experience designing, testing, and troubleshooting complex PCB/board-level electronics. Strong experience with Altium Designer or an equivalent PCB design platform is required. About the Role We are seeking a hands-on Electrical Engineer – Propulsion / Engine Systems Electronics to support the design, development, integration, and testing of advanced electronics for propulsion and engine systems. This role will own the full PCB development lifecycle, from translating propulsion requirements into electrical designs through schematic capture, PCB layout, component selection, board bring-up, qualification testing, debugging, and system integration. The ideal candidate has strong experience across analog, digital, and power electronics and can develop reliable hardware for demanding vibration and temperature environments. Key Responsibilities PCB Design & Development Own full-cycle development of complex PCB assemblies for propulsion and engine systems. Translate system-level propulsion requirements into robust electrical designs. Perform schematic capture and support high-density PCB layout using Altium Designer or equivalent tools. Select components based on electrical, thermal, reliability, and environmental requirements. Lead board bring-up, debugging, testing, and propulsion-system integration. Ensure PCB designs meet electrical, mechanical, thermal, manufacturing, and reliability requirements. Propulsion & Engine Electronics Design and optimize electronics supporting propulsion and engine systems, including: Flight controller circuits Power distribution systems Power supplies Motor controller circuits Electromagnetic actuator circuits Support integration of electronics with propulsion hardware and associated control systems. Troubleshoot electrical issues identified during engine testing and system integration. Engineering Analysis Perform circuit simulations and detailed engineering analyses. Conduct Worst-Case Analysis (WCA) , thermal analysis, DFMEA, and component derating analysis. Evaluate electrical designs for reliable operation under extreme temperature, vibration, and other demanding environments. Use LTSpice or equivalent tools to validate circuit performance. Verification, Qualification & Testing Lead PCB and electronics bring-up activities. Develop and execute functional, Design Verification Testing (DVT), and qualification testing. Utilize laboratory equipment to troubleshoot and characterize electrical hardware. Perform root-cause and failure analysis supporting engine testing and field operations. Document test results, anomalies, corrective actions, and engineering findings. Cross-Functional Engineering Collaborate with Mechanical, Thermal, Software, Test, Systems, Quality, and Manufacturing Engineering teams. Conduct peer-level and cross-disciplinary design reviews. Provide electrical engineering support throughout development, integration, qualification, and testing. Required Qualifications Bachelor's degree in Electrical Engineering (BSEE) . 5+ years of professional experience designing, testing, and troubleshooting complex board-level electronic systems. Strong fundamentals in: Analog electronics Digital electronics Power electronics Hands-on experience with the complete PCB development lifecycle, including schematic capture, PCB layout, component selection, board bring-up, testing, debugging, and system integration. Deep proficiency with Altium Designer or equivalent schematic capture and PCB layout tools. Experience with LTSpice or equivalent circuit simulation tools. Strong hands-on experience with laboratory equipment, including oscilloscopes, logic analyzers, spectrum analyzers, function generators, DMMs, electronic loads, bench power supplies, thermal chambers, and test automation equipment. Familiarity with CAN, I²C, SPI, and Ethernet communication interfaces. Familiarity with common MCU/CPU architectures. Strong troubleshooting and root-cause analysis skills. Must be eligible to obtain and maintain an active U.S. Secret Security Clearance . Preferred Qualifications Master's degree in Electrical Engineering (MSEE) . Experience with MATLAB and/or Simulink for engineering data analysis, control-loop modeling, and system simulation. Experience designing electronics for propulsion, engine control, aerospace, or other high-reliability systems . Experience developing motor-control or actuator-control electronics . Experience designing power distribution and power conversion electronics. Experience with electronics designed for high-vibration and extreme-temperature environments . Experience supporting hardware qualification, environmental testing, and failure investigations. What We're Looking For We're looking for a hands-on electrical hardware engineer who can own complex electronics from requirements through PCB design, board bring-up, testing, and system integration . The strongest candidates will combine deep PCB design, analog/digital/power electronics, and laboratory troubleshooting experience with the ability to work directly with propulsion, mechanical, software, thermal, manufacturing, and test teams. Experience with Altium, LTSpice, power systems, motor/actuator control, DVT/qualification testing, and root-cause analysis will be especially valuable.

Location: United States; Canada Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product. You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth. This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem. _______________________________________________________________________ RESPONSIBILITIES - Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure - Support and help implement key security programs such as automated security design reviews, and vulnerability management - Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams - Partner with engineering to design and implement security architecture and controls across Docker products and platforms - Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services - Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure - Build and maintain offensive security tooling and automation to expand testing coverage and repeatability - Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits - Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts - Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices - Participate in Security Incident response _______________________________________________________________________ QUALIFICATIONS - Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure - Possess 2+ years of hands-on development experience in Python or Golang - Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles. - Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure) - Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners - Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks - Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product - Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks - Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows - Have a track record of building security programs and automations from scratch, applying risk-based prioritization - Have experience performing security reviews and building or improving security review automation - Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders - Understand industry standards, and actively keep up with emerging security technologies and models - Are a team player who drives security change via collaboration and cross-functional partnerships - Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO - Have published CVEs, original security research, or conference talks Bonus if you: - Have experience with container escape, Kubernetes attack paths, or cloud red teaming - Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS: - Meet with security team and key partners across engineering - Gain access to team owned systems, and internal documentation - Complete security awareness training and compliance onboarding - Review application architecture, tech stack and data flow - Review risk registry and annual roadmap - Familiarize oneself with team workflows and processes - Shadow a fellow security engineer during their on-call/secops rotations FIRST 90 DAYS: - Conduct security review on emerging Docker products - Scope and execute your first penetration test against a Docker product or service - Actively participate in architecture design reviews with the team - Contribute to a Security-owned project or initiative - Collaborate with Docker developers to validate and resolve discovered vulnerabilities - Enhance incident response capabilities by participating in on-call rotation and post-incident activities - Create and maintain security documentation and runbooks FIRST YEAR OUTLOOK - Contribute to the security roadmap for improving security controls - Strengthen Zero Trust architecture and least privilege access controls - Enhance security monitoring and anomaly detection - Perform security reviews for major product releases - Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers - Support audits and ensure compliance with SOC 2, ISO 27xxx - Advocate for “security by design” in all product features - Become well versed in Docker products and emerging AI technologies Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$271,150 – CA$434,000 base United States: $194,150 – $312,950 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

About LawnStarter: LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter: The analytics team is small and senior, supporting the entire company including product, marketing, operations, and finance. The data platform is built on a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, governance tasks are side work done by analysts, and this role is dedicated to data governance. The Role: You will be the first dedicated person at LawnStarter responsible for data governance, owning the trustworthiness of data and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding machine learning models, and data security. You will collaborate with product, marketing, operations, and finance to understand business data needs and prioritize platform work. This is a hands-on managerial role starting solo, building automation, fixing issues, and establishing scalable processes. Eventually, you will hire and lead a Lead Analytics Engineer. Key Differentiators: - First dedicated governance role, reshaping existing governance standards. - Own the data roadmap, discovering and prioritizing business needs. - Full ownership from source data to ML models. - Lead the migration to Lightdash, setting up permissions and structure. Responsibilities: - Develop and manage the data roadmap balancing stakeholder needs and platform health. - Implement automated monitoring for data quality and freshness. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer ensuring one governed definition per metric. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security and privacy including access controls and compliance with US state privacy laws. - Maintain governance documentation, ownership models, and review processes. Challenges to Solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability and governance. - Complete and maintain the semantic layer. - Prevent entropy in event tracking and maintain standards. - Proactively detect and resolve data pipeline breakages. Success Metrics (Year 1): - Zero pipeline incidents from unannounced source data changes. - Zero freshness incidents with stakeholders always seeing up-to-date dashboards. - All business areas self-serve on official, well-maintained metrics and dashboards. - Retire Tableau and Metabase. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance and making data systems trustworthy. - Daily use of AI tools (Claude Code, Copilot, ChatGPT) for automation and anomaly triage. - Hands-on manager accountable for others' output and still actively building. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role is not: - Large team leadership initially; starts solo with potential to grow. - Policy or committee role; hands-on fixing with code, config, or conversation. - BI analyst role focused on dashboard building. - Babysitting a finished system; role involves building and maturing the platform. Tech Stack: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for freshness monitoring, anomaly detection, dbt lineage Benefits: - Base salary $75k-$120k/year - Fully remote work with deep focus environment - Async collaboration - Flexible PTO - Equal employment opportunity and compliance with nondiscrimination laws

Location: San Francisco, California; Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry is looking for a Manager, Design Engineering to lead the team behind Scraps, our design system. This role would manage a team of designers and front-end engineers that is building the infrastructure that powers our UI development. This role lives at the intersection of design, engineering and AI tooling. The ideal candidate is comfortable reviewing a component's API in a pull request, can critique the consistency of typography across components, and has created skills to help agents use a design system more effectively. This role will set the direction for our system, grow the team, and stay close enough to the work to make design and implementation decisions. IN THIS ROLE YOU WILL - Manage and grow a team of engineers and designers — hiring, leveling, and coaching across both crafts - Own the strategic roadmap for the team: what components to prioritize, what tools to adopt, which parts of the web app to refactor, etc. - Help maintain the UI quality and expression that Sentry is known for - Keep design and code in sync — tokens, variables, component parity, and the pipeline from Figma to production - Stay hands-on building components and the infrastructure to enable fast, accurate agentic front-end development and prototyping - Drive adoption across product teams through documentation, lint rules, and contribution workflows that don't slow anyone down YOU'LL LOVE THIS JOB IF YOU - Consider yourself a design engineer, or a designer who codes - Are passionate about design systems as the context layer for agentic frontend development, and want to build tools and skills that enable product teams to ship faster - Nerd out over component APIs, variant structures, and tokenization and naming conventions - Care deeply about consistency but know when a pattern needs to flex for a specific use case - Care deeply about interface quality, and want to build world class front-end infrastructure you can be proud of - Get as much out of growing people as you do out of building things QUALIFICATIONS - 3+ years of experience in a full-time design system or design engineering team - 2+ years of people management experience - Strong visual and interaction design skills with a sharp eye for spacing, hierarchy, and micro-interactions - Deep fluency in React, TypeScript, CSS, and the DOM - Familiarity with Figma's design systems tooling — components, variants, variables, auto layout, shared libraries, and branching workflows - Able to balance long-term system thinking with the practical needs of product teams shipping on tight timelines The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 – $270,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance. As a member of the Mechanical Engineering NPI team, you’ll help shape the future of wearable technology by developing innovative, high-performance products that integrate seamlessly into users’ lives. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. We expect engineers to go deep technically, collaborate relentlessly, and take pride in execution. The pace is fast, expectations are high, and the work is deeply meaningful. This isn’t a role where you follow a blueprint. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. WHOOP is looking for a Staff Mechanical Engineer to lead critical design, validation, and development execution for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Complete technical ownership (at system level) of a next generation product from design concept to manufacturing release, ensuring performance, reliability, cost, and schedule targets are met. - Lead mechanical design, analysis and development of mechanical components around micro-electronics, exact industrial design specifications, product requirements, and manufacturing constraints. - Create parametric multi-body SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate and collaborate effectively across functional teams and external suppliers to align requirements, drive decisions, and resolve issues quickly - Drive organized, end-to-end DFM coordination across multiple vendors and manufacturing methods, aligning requirements, timelines, and technical decisions to deliver scalable, high-yield production. - Design testing protocols and validation plans, manage testing processes to ensure comprehensive verification and validation (V&V) of mechanical designs. - Perform thorough engineering root cause analyses to identify and resolve issues - Mentor younger engineers by example through excellence in engineering best practices - Willingness to travel internationally up to 20% of the time QUALIFICATIONS: - BS or MS in Mechanical Engineering or a related field - 10+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics - 5+ years SolidWorks (or equivalent) CAD experience with best practices for part design/ feature architecture, surface modeling, advanced assemblies, complex configuration management and integrating DFx feedback efficiently - 5+ years working with Tier 1 and 2 contract manufacturers in Asia and North America - Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly - Played a key role in the launch of 3+ products, thorough understanding of full product development process, experience guiding suppliers, product lifecycle management - Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection - Knowledge of Six Sigma statistical methods and how to apply them effectively to make design decisions. Ability to utilize statistical methods such as RSS tolerance stack up analysis and CPK process capability. - Strong organization and communication skills and the ability to work well within teams in a fast-paced environment - Ability to effectively communicate technical concepts and proposals to leadership upwards (internally), and externally to suppliers and contract manufacturers. - Highly organized and methodical; able to create structure, plans, and risk mitigation for open-ended problems and drive them to closure. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $175,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: — Разработка AI агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при ошибках. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция с API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Преимуществом является опыт с мультиагентной оркестрацией, MCP, human-in-the-loop рабочими процессами или мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт. Это практическая инженерная роль с ответственностью за дизайн агента, реализацию, оценку, деплой и надёжность в продакшене.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Москва Наша команда отвечает за качество моделей TTS в SaluteSpeech – той части GigaChat, которая занимается звуком. Наш синтез можно услышать у ассистентов Салют, в колл-центре по номеру 900, в Сболе. Сейчас мы ищем ребят, которые будут работать над базовым качеством, мультимодальным Гигачатом и другими классными проектами. Как у нас все устроено: * команда живет в 4 городах, общаемся текстом и по видео, иногда встречаемся очно; * работать можно в удобное время, обязательных созвонов 1-3 в неделю; * очень много данных и карточек для обучения; * работа обычно происходит так: формулируем гипотезу, улучшаем модель, обгоняем прод по метрикам, показываем команде runtime, помогаем им затащить в прод; * чаще всего успешные модели – это улучшенные старые, в итоге развиваем свой звездолет Вся работа с разметкой для обучения и подсчет метрик уже автоматизированы, очень удобно. Можно прийти на нашу студию, поговорить в микрофон 3 часа и обучить свой синтез. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * улучшать модели; * обгонять прод по метрикам; * помогать внедрять; * фантазировать, экспериментировать, читать статьи; * заниматься проектами, например ускорение обучения, voice cloning, low resource, rl; * рассказывать о решении задач на внутренних семинарах, а также на хабре и в нашем чатике в тг. Требования * python, алгоритмы, математика; * знания в DL, особенно про звук; * опыт обучения моделей для прода; * кругозор (nlp, лингвистика, русский язык, биология, физика -- что имеет отношение к речи); * c++; * публикации. Условия * задачи, которые еще никто не делал; * команда отзывчивых профи, которые всегда помогут; * фидбек и возможность увидеть результаты своей работы в продуктах; * много корпоративных плюшек: расширенная программа ДМС (возможность подключения родственников), страхование жизни, специальные условия по кредитам/ипотеке, скидки от компаний-партнёров; * офис на Кутузовском проспекте с парковкой, спортзалом, массажными креслами и возможностью выбора формата работы (офис, гибрид или удалёнка).

Location: Москва Мы — core-команда, которая отвечает за ML для понимания аудио во всем Сбере. За последний год мы выложили в open source SOTA-модель для распознавания речи на русском языке — **GigaAM**, а прошлой весной первыми в России запустили **нативное понимание звука в LLM — GigaChat Audio**. Сейчас мы активно улучшаем мультимодальные возможности GigaChat: работаем над качеством на сложных аудио- и визуальных контекстах и учим модель понимать видео не только по звуковому потоку, но и по кадрам. **Цель** — совместное обучение на vision+audio и video+audio диалогах длительностью 90+ минут. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Проводить эксперименты по обучению Vision / Audio / Video LLM: данные, стадии обучения, способы смешивания модальностей * Оптимизировать ML-инфраструктуру для обучения на длинных мультимодальных контекстах * Формулировать и проверять гипотезы о том, как улучшать качество LLM на видео. Требования * Сильный опыт в DL-инженерии, желательно в обучении LLM-моделей * Глубокое знание PyTorch, включая DDP / FSDP * Понимание distributed training и efficient deep learning: DP / TP / PP / EP / SP, mixed precision, checkpointing, offloading, профилирование и оптимизация обучения * Понимание архитектуры LLM: Transformer, attention (MHA / GQA / MLA), RoPE и другие позиционные эмбеддинги, long context, MoE * Уверенный Python на уровне production-кода: asyncio, multiprocessing, профилирование, отладка больших систем. **Будет плюсом:** * Опыт обучения мультимодальных LLM * Опыт снижения стоимости контекста при обработке видео * Опыт расширения контекста LLM * Понимание RL-подходов для обучения моделей: RLHF / RLVR, PPO / GRPO / DPO * Опыт построения бенчмарков с использованием LLM-as-a-judge. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы ищем сильного Deep Learning инженера для развития и вывода на принципиально новый уровень GigaAM — лучшей open-source модели для распознавания речи на русском языке. GigaAM — это не только исследовательский проект, но и core-модель, которая определяет качество работы многих ключевых продуктов экосистемы: GigaChat Audio, ASR, TTS, GigaChat Video и других. Сейчас мы стоим перед масштабным вызовом: кратное увеличение параметров модели, масштабирование данных на несколько порядков, расширение языкового покрытия и выход за рамки распознавания речи в сторону general audio understanding. Если вы хотите создавать state-of-the-art решения, которыми будут пользоваться миллионы, и вносить вклад в развитие мирового open-source — нам по пути! _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Масштабирование данных: увеличение объемов данных для обучения на несколько порядков, построение эффективных пайплайнов их фильтрации и подготовки. * Развитие архитектуры и метода предобучения: улучшение мультиязычных свойств модели и расширение ее возможностей в сторону анализа аудио неречевой природы. * Scaling laws: масштабирование модели по количеству параметров в несколько раз. * Research & Engineering: стабилизация процессов предобучения, проведение ML-экспериментов, проверка гипотез и доведение результатов до прода и публикаций. Требования * Уверенное владение Python и PyTorch * Distributed Training: практический опыт распределенного обучения, понимание ограничений и принципов работы под капотом (DDP, FSDP, ZeRO). * Опыт оптимизации DL-пайплайнов: профилирование и оптимизация узких инфраструктурных мест в процессе обучения (I/O bottlenecks, memory management, GPU utilization). * Экспертиза в Speech/Audio: понимание современных подходов и state-of-the-art архитектур в Speech/Audio Self-Supervised Learning. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы ищем Data Engineer, который будет отвечать за инфраструктуру, пайплайны и качество данных для обучения современных Vision-Language Models. Роль находится на стыке data engineering и ML: нужно будет работать с большими мультимодальными датасетами, понимать потребности исследователей и ML-инженеров, строить пайплайны очистки, фильтрации, категоризации и генерации данных, а также обеспечивать воспроизводимый экспорт данных в формат для обучения моделей. Обязанности * Собирать и структурировать потребности ML-команды в данных: какие данные нужны для обучения, дообучения, оценки и улучшения VLM. * Предлагать и реализовывать идеи пайплайнов очистки, фильтрации, дедупликации, категоризации и генерации данных. * Ориентироваться в современных практиках построения датасетов для Vision-Language Models: image-text pairs, synthetic data, filtering, quality scoring, data mixture design, dataset versioning. * Отвечать за инфраструктуру хранения и подготовки данных, включая: * 1. импорт данных из различных источников: production, Common Crawl, open-source datasets, generated data; 2. валидацию и контроль качества данных; 3. хранение и версионирование датасетов; 4. экспорт данных в форматы, пригодные для обучения моделей. * Проектировать и реализовывать пайплайны обработки данных на большом масштабе, включая десятки миллиардов изображений. * Разрабатывать пайплайны генерации синтетических данных для обучения и улучшения VLM. * Собирать статистику по данным, строить отчёты и визуализации для анализа состава, качества и покрытия датасетов. * Обеспечивать воспроизводимость, наблюдаемость и надёжность data-процессов. * Работать в тесной связке с ML-инженерами, исследователями и инфраструктурной командой. Требования * Сильный опыт в data engineering и построении production-grade data pipelines. * Уверенное владение Python, включая multiprocessing, multithreading и async-подходы. * Опыт работы с большими объёмами данных и распределённой обработкой. * Практический опыт с объектными хранилищами, в частности S3 или аналогами. * Опыт работы с YTsaurus или похожими системами для распределённого хранения и обработки данных. * Понимание принципов валидации, очистки, дедупликации и версионирования датасетов. * Опыт работы с DVC, Git, Docker. * Опыт работы с PostgreSQL или другими реляционными базами данных. * Умение проектировать устойчивые пайплайны: от импорта данных до финального экспорта в training-ready формат. * Способность самостоятельно разбираться в нечетко сформулированных задачах и доводить их до работающего решения. * Готовность работать на стыке engineering и ML research. Будет плюсом ------------ * Опыт работы с мультимодальными данными: изображения, текст, image-text pairs, captions, OCR, metadata. * Понимание того, как устроены современные датасеты для обучения VLM / LMM / multimodal models. * Опыт построения пайплайнов для synthetic data generation. * Опыт реализации quality scoring, filtering, semantic deduplication, clustering или data attribution. * Опыт визуализации статистики по большим датасетам и построения внутренних аналитических дашбордов. * Опыт работы с Common Crawl, LAION-подобными датасетами, open-source vision-language datasets. * Базовое понимание ML training pipeline и того, как качество данных влияет на качество модели. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Привет! Это GigaChat Vision — команда, которая делает полный цикл обучения VLM моделей, включающий в себя стадии pre-training, SFT и DPO/RL. Мы ищем сильных инженеров и исследователей, которые будут двигать вперед качество мультимодального GigaChat. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Самостоятельная работа в рамках заданного направления развития качества VLM: от планирования, до выкатки в прод; * Планирование и работа над исследовательскими задачами по архитектуре модели, стратегии и данным обучения; * Формирование гипотез по улучшению качества модели, самостоятельное планирование экспериментов по их подтверждению и постановка multi-node обучений на большом количестве GPU (тысячи A100/H100); * Решение сложных инженерных задач, развитие и оптимизация кодовой базы обучения и эвала VLM, написание чистого кода и проведение code review; * Анализ точек роста и определение способов их закрытия. Требования * Сильный технический бэкграунд в modern ML: понимание того, как данные, архитектура и стратегии обучения влияют на итоговое качество модели; * Опыт полного цикла обучения VLM или LLM; * Глубокие знания или опыт работы в области computer vision; * Понимание принципов работы распределенного обучения (FSDP) или опыт обучения моделей на больших GPU кластерах; * Наличие навыков технического лидерства: проведение code-review, помощь и менторинг младших сотрудников; * Умение работать, принимать решения и выстраивать процессы в условиях неопределенности; * Умение и желание взаимодействовать с коллегами, вносить собственные идеи и предлагать пути достижения общих целей. **Будет плюсом:** * Опыт полного цикла обучения VLM; * Наличие публикаций в области NLP или CV; * Опыт решения задач по оптимизации обучения; * Опыт участия в соревнованиях по машинному обучению или программированию. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the operating system for knowledge work, and we want people to be able to do substantive knowledge work from their phone. A great native app is what makes that possible. On Android, that means Notion should feel like it was built for the platform: fast to open, smooth to scroll, and reliable offline or on a spotty connection. We’re investing in a more native foundation for how people read, write, and edit in Notion. That lets users capture ideas in the moment, find answers across their workspace, manage tasks and projects, and work with teammates, with the speed, polish, and dependability people expect from the best apps on their phone. As an Android engineer, you’ll help build that native foundation, from how pages render and how people write and edit, to the navigation and app chrome people use every day, like Home, Search, and Inbox, along with the shared frameworks the rest of the app is built on. You’ll work across the Android stack, with chances to dig into our shared Rust layer and the AI tools we use for mobile development. Along the way, you’ll pair with experienced product and mobile AI engineers to find what slows the team down, try new Android capabilities, and help decide what ships in the app. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Ship the core Notion experience on Android: Build and polish the surfaces people use every day—opening and reading pages, writing and editing, navigating the app, and the Home, Search, and Inbox tabs—on a native Kotlin and Jetpack Compose stack that is fast to open, smooth to scroll, and dependable offline. - Build with product and design, and iterate fast: Partner with product managers and designers to turn ideas into shipped features, then use feedback and data to make them better. Use AI coding tools and agents to build, test, and investigate faster, while you stay accountable for review, validation, and quality. - By the end of your first year, own a core product area: Take a core part of the Android app, like Home, Inbox, or a piece of the editor, from idea to launch, and shape it into an experience that helps people do their life’s work from their phone. - Make the app feel fast and reliable: Find and fix issues in startup time, scrolling, typing latency, crashes, and memory use across the surfaces you own, and add the tests and monitoring that catch regressions before users do.   SKILLS YOU'LL NEED TO BRING - Solid Android fundamentals: You’ve built and shipped Android apps, through work, internships, or your own projects, and you’re comfortable with modern Android—Kotlin, Jetpack Compose, Coroutines/Flow, and Gradle. Experience with a large, modular codebase is a plus. - Care for native UI and performance: You enjoy making UI feel fast and smooth, and you’re curious about things like custom text rendering, complex lazy lists, or rich-text editing. Experience with performance profiling, realtime collaboration, or offline sync is a plus. - Product instincts: You care about how the app feels to use, not just how it works. You sweat the details of interactions and polish, and you use feedback and data to decide what to build next. - Thoughtful problem-solving and clear communication: You build a clear picture of the problem before jumping to a fix, you can explain trade-offs in writing, and you ask for help early when you’re stuck. Experience moving a hybrid or web-based surface to native, or building something from 0→1, is a plus. - AI-native, end-to-end engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective. Web experience (TypeScript, React, Node) is welcome but not required. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $168,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Разрабатывать масштабируемые backend-сервисы и API. — Принимать архитектурные решения и обеспечивать высокие инженерные стандарты. — Писать production-ready код и активно использовать AI-инструменты для ускорения разработки. — Решать сложные технические задачи и повышать надежность системы. — Проводить код-ревью и поддерживать качество кода в команде. — Наставлять инженеров и повышать продуктивность команды. — Тесно сотрудничать с командами продукта, дизайна и QA. — Постоянно улучшать процессы разработки и инженерные практики. Требования: — Опыт разработки ПО 7+ лет. — Сильный коммерческий опыт с Node.js и TypeScript. — Опыт проектирования масштабируемых архитектур и распределенных систем. — Хорошее понимание PostgreSQL, Redis, REST API и асинхронных паттернов. — Опыт работы с Docker и CI/CD. — Опыт руководства инженерами и принятия технических решений. — Активный hands-on подход и желание оставаться близко к коду. — Опыт использования AI-инструментов (Cursor, GitHub Copilot, Claude Code или аналогичных) в ежедневной разработке. — Английский уровень B2/C1. Плюсом будет: — Опыт с React или Angular. — Опыт с RabbitMQ, Kubernetes и GitOps. — Опыт с Web3 или блокчейн-продуктами. — Опыт интеграции LLM API и AI возможностей в продукты. Условия: — Профессиональный рост: поддержка курсов, конференций и изучения английского (до 100% покрытия). — Баланс работы и жизни: удаленный или гибридный формат с гибким графиком в международных командах. — Оплачиваемый отпуск: до 20 дней отпуска + 8 корпоративных праздников + 5 личных дней в год. — Программы признания: структурированные оценки эффективности и командные награды. — Культура команды: выезды в международные локации (например, корпоративные апартаменты на Кипре).

Задачи: — Разработка и внедрение AI/ML решений с использованием LLM, Python и связанных технологий — Работа с production-grade LLM, RAG, NLP, embeddings и векторными базами данных — Парсинг документов, извлечение информации и обработка больших объемов текста — Использование LangChain, LangGraph, CrewAI, Claude Code — Работа с облачными сервисами AWS SageMaker, Bedrock, EC2, Lambda, Azure AI, OpenAI — Использование MLflow, W&B, CI/CD, Docker, Kubernetes для управления ML-процессами — Оценка AI моделей, улучшение и обеспечение наблюдаемости — Руководство командой, наставничество и коммуникация Требования: — Опыт работы в AI/ML инженерии от 3 лет — Знание Python, SQL, NumPy, Pandas, Scikit-learn, PyTorch или TensorFlow — Опыт работы с LLM, NLP, embeddings, векторными базами данных — Знание LangChain, LangGraph, CrewAI, Claude Code — Опыт работы с AWS и Azure AI сервисами — Навыки работы с MLflow, W&B, CI/CD, Docker, Kubernetes — Высшее образование в технической области Условия: — Работа в офисе, 5-дневная рабочая неделя — Локации: Hyderabad, Ahmedabad, Indore — Максимальный срок уведомления о выходе на работу: 15 дней — Процесс интервью: 3 технических/менеджерских раунда + обсуждение CTC Для отклика необходимо предоставить: — Имя кандидата, обновленное резюме, общий опыт, релевантный опыт AI/ML — Количество реализованных production AI/ML систем — Текущая компания и должность, текущее и ожидаемое вознаграждение — Местоположение и предпочтительное место работы — Наличие офферов, причина смены работы, готовность к немедленному выходу — Контактный номер, профиль LinkedIn, релевантные навыки AI/ML и LLM