Design and deploy autonomous and multi-agent orchestration workflows capable of executing complex, multi-step enterprise processes. Implement structured tool-use frameworks and integrate external APIs and services using protocols such as Model Context Protocol (MCP).
УдалённоСША; This position is remote within the US (East Coast time zone slightly preferred) with minimal travel required; Location: Based in the US (East Coast time zone slightly preferred)
Location: London
Workplace: Hybrid
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make:
You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues.
Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes.
The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively.
Your day-to-day:
- Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management.
- Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems.
- Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations.
- Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues.
- Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations.
- Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices.
Your skillset:
- SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support.
- Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable.
- API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems.
- Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices.
The interview journey:
- Intro with a member of the Talent Acquisition team - 30 mins
- 1st stage video interview with Lead Applied AI Engineer - 1 hour
- Applied AI and SaaS administration task
- Final stage with Director of Applied AI and senior stakeholders - 1 hour
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion:
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
Location: Remote
Workplace: Remote
We're seeking an experienced Engineering Manager to lead our Data Engineering team. The team is responsible for the entire data platform: ingestion from our EHR and partner feeds, the Snowflake environment itself, orchestration and CI/CD, and the outbound integrations that deliver data to our partner and vendor systems. Our analytics engineering team builds the reporting and analytics logic on top of it, and you'll work closely with them.
The team's output reaches almost every part of the business, including billing, clinical operations, patient communications, marketing, and our partner integrations. You'll be accountable for its reliability. Our data product manager brings forward the problems our stakeholders need solved, and you'll partner with them to turn those into technical plans the team can execute.
We are hiring this role in advance of scaling up the team to help the company expand into new lines of business next year.
We pride ourselves on our strong management culture and talented engineering teams.
ABOUT TALKIATRY:
Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.
Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.
Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.
YOU WILL:
- Lead and develop a team of engineers working on our foundational data processing platform
- Drive technical strategy and execution across our Snowflake platform, dbt project, our Python services on AWS (Lambda, ECS), and our Airflow orchestration layer
- Own the Snowflake environment: access and permissions, warehouse configuration, and cost management
- Own the reliability of these systems: on-call readiness, incident triage, and post-mortems, with escalation to engineering leadership
- Collaborate with product, business, and other engineering teams to create high impact solutions. Work closely with analytics engineering on schema and platform changes, and with our DevOps team on the cloud infrastructure and deployment pipelines the platform depends on.
- Establish robust engineering practices and technical standards across code review, testing, documentation, and CI/CD
- Set clear goals, prioritize effectively, and ensure timely delivery of high-quality solutions
- Mentor team members and foster their professional growth
- Contribute to Talkiatry’s engineering and management culture
YOU HAVE:
- 6+ years of data engineering experience
- 2+ years of engineering management experience
- Strong technical background with hands-on development experience with Snowflake, dbt, Python and SQL
- Experience administering a cloud data warehouse, not only building in one: access control, cost management, and environment and release processes
- Comfortable running production services in a cloud environment, ideally AWS: containerized workloads and serverless functions
- Experience owning production data systems: orchestration tooling such as Airflow, monitoring and alerting, and incident response
- Experience applying CI/CD and automated testing to data pipelines
- Excellent communication skills with both technical and non-technical stakeholders
- Track record of delivering complex software projects on time
- Ability to balance business needs with technical excellence
Nice to have:
- Experience working with data in a HIPAA-compliant environment
- Experience building and maintaining integrations with third-party systems and APIs
- Working knowledge of dimensional modeling and warehouse design tradeoffs
- Experience consolidating fragmented scheduling onto a single orchestration platform
- Experience with Fivetran or similar ELT tooling
- Familiarity with Terraform or other infrastructure as code (our DevOps team owns most of this)
WHY TALKIATRY:
- Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care
- Collaborative environment: be part of building something from the ground up at a fast-paced startup
- Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!
- Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands
- It all comes back to care: we’re a mental health company, and we put our team’s well-being first
Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0.
At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.
We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.
Location: Texas, Illinois
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture, and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
The Associate Customer Engineer provides expert technical support to high-value customers, and partners resolving complex issues and proactively ensuring system health. They also play a key role in mentoring customer engineers and sharing knowledge to enhance overall customer satisfaction and product improvement.
Job Duties and Responsibilities:
Handle highly complex technical problems for our customers that include technical configuration, workflow compilation, lambda code debug, integration and JSON knowledge. Primarily aligned for concierge and premier success plans customers.
Resolve customer technical issues through diligent research, reproduction, and troubleshooting.
Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
Provide high-quality customer engineering assistance that results in high customer satisfaction.
Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions that support a rapidly growing business at a massive scale.
Attend meetings with clients to analyze, troubleshoot, and diagnose problems
Resolve customer issues and ensure appropriate ticket investigation and resolution quality.
Share and develop best practices with team members to enhance the quality and efficiency of technical support and contribute to the knowledge base.
Participate in rapid response teams that include engineering and DevOps to be the face of the customer in communications and feedback
Actively monitor tenant-level alerting tools and participate in collaborative communications for escalation prevention.
Provide input on product and service-related enhancement requests back to Engineering, Product Management, Sales, and Marketing teams. that will improve our customers' successful use of our products and drive adoption.
Understand and keep up-to-date on the latest product functionality, its dependencies, the underlying architecture, and its operational impact.
Participate in a 24/7 on-call rotation, providing after-hours support for critical issues.
Enhance the quality and efficiency of technical support and contribute to the knowledge base.
Proactively communicate to avoid escalations and negative customer satisfaction.
Author technical documents on common issues and solutions to build the knowledge base and participate in communities.
Support weekend shifts on a rotational/as-needed basis if requested.
Other duties and responsibilities as assigned.
Skills You Must Have:
Bachelor's degree in Computer Science or equivalent field of study.
Programming (Python, Java) and solid understanding of cloud technologies.
Have completed two or more Internships during the undergraduate or graduate studies.
Motivated to learn and adopt new technologies demonstrated by having taken certifications
Troubleshooting and debugging skills demonstrated by curiosity in determining solutions and workarounds for problems in hand.
Problem solving and analytical skills.
Skills That Are Nice to Have:
MS in computer science or equivalent experience preferred.
Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred), and distributed indexes is a plus.
Object oriented programming and designs, Data Structures and Algorithms
Experience in data management, master data management, analytics, and big data platforms and technologies.
At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
Overall Market Range
$61,000
—
$114,000 USD
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
• Проектирование, создание и поддержка надежных и масштабируемых ETL-процессов для обработки больших объемов данных. • Разработка и оптимизация SQL-запросов для извлечения и анализа данных.
Location: Office Based - London, UK
This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions.
Location: Office Based in London, England.
The role entails
Empathetic Engagement:
Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks.
Collaborative Problem Solving:
Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction.
True Ownership:
Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably.
Ubuntu Lifecycle Guidance:
Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes.
Knowledge Advocacy:
Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community.
Operational Reliability:
Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners.
What are we looking for in you
Communication Excellence:
Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly.
The Soft-Skill Edge:
A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy.
Academic Dedication:
Exceptional academic track record from both high school and university.
Educational Background:
An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
On-Site Technical Leadership:
Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees.
Driven Mindset:
A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers.
Linux & Cloud Familiarity:
Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following:
Virtualization & Cloud:
Using KVM or OpenStack.
Containers:
primarily Docker, LXD/LXC, or Kubernetes.
Storage Ecosystems:
Block, object, and network storage technologies.
System Networking:
Navigating bonding, firewalls, bridging, switching, or MTU tuning.
Analytical Curiosity:
A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps.
Development Fundamentals:
Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Office Based - London, UK
Accelerate your technical career by joining Canonical in a high-impact, multi-disciplinary role.. You'll be working from our London office, which hosts our events, customer demos and visitors, in an event space with professional live video, audio and streaming equipment. You'll wear three hats: Linux and cloud support engineer, owner of the office's technical infrastructure, and one of the people running the live production at our events. You'll own your cases from first contact to resolution, bringing in colleagues or senior engineers when needed, and you'll keep the technology running when it matters most, with people watching. While professional broadcast or AV experience is not required, a strong technical curiosity for audio/video systems and the composure to manage live, high-stakes environments are a must.
Location: Office Based in London, England.
The role entails
Office technology:
Own the technical state of the London office (network, devices, meeting spaces, AV), including onboarding new colleagues, and know how it all fits together.
Live events:
Run the technology for events and customer demos, from set-up and live operation through to tear-down, and coordinate external crew for larger events.
Customer support:
Own your cases end to end, working with customers by ticket, remote session and live conversation, and with engineering teams to turn code fixes into customer outcomes. Set clear expectations and keep your commitments.
Ubuntu lifecycle:
Understand the Ubuntu development process well enough to give customers realistic timelines for fixes.
Knowledge:
Write and maintain knowledge base articles so lessons learned are shared.
What are we looking for in you
Exceptional written and spoken English, and the ability to explain technical complexity clearly and warmly
An exceptional academic record at high school and university, with an undergraduate degree in a technical subject or a compelling narrative about your alternative path
A builder's streak: something you've set up or run for other people on a deadline, such as a home lab, hackspace, student tech crew, live sound, streaming, or school or club IT
AV curiosity: real interest in audio, video and live production, or a clear appetite to learn it
Composure and care: you like helping people and stay calm when a high-stakes moment, including a live event, gets tense
A track record of going above and beyond for teams or customers
Hands-on experience supporting Linux systems, plus any of: virtualization or cloud (KVM, OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage (block, object, network), or networking (bonding, firewalls, bridging, switching, MTU tuning)
A troubleshooting mindset (logs, stack traces, OS and application-level causes) and programming fundamentals in any language
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: San Francisco, CA; Sunnyvale, CA
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
THE OPPORTUNITY
As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world.
This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap.
WHAT YOU WILL DO
- Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats).
- Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team.
- System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines.
- Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system.
- Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge.
- Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar.
- Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences.
WHAT WE ARE LOOKING FOR
- Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain).
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred.
- Core Technical Skills: Strong proficiency in Python and/or C/C++.
- Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML.
- Full SW lifecycle experience: Demonstrated experience in taking research into production at scale.
- Technical Leadership Experience: Previous experience tech leading computer vision projects.
COMPENSATION & BENEFITS
The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
LOCATION & WORK MODEL
This role is based in our San Francisco or Sunnyvale office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Задачи:
— проектирование и масштабирование корпоративного хранилища данных
— интеграция источников и консолидация данных из учётных систем (в том числе SAP HCM/SAP BW)
— проектирование витрин данных на основе требований бизнеса и топ‑менеджмента
— внедрение процессов Data Quality и Data Governance для обеспечения качества данных
Требования:
— опыт в области DWH, ETL или Data Engineering от 3 лет
— практический опыт проектирования и развития хранилищ данных
— уверенное владение PostgreSQL, MS SQL, Python (для обработки данных, интеграций и автоматизации), Apache Airflow, Kafka, Git
— приверженность подходу Data Governance
— умение самостоятельно принимать, документировать и внедрять решения в промышленную эксплуатацию
— будет преимуществом понимание принципов хранения данных в SAP HCM/SAP BW, требований BI‑систем к структуре и качеству данных, а также основных метрик HR‑отчётности.
-Участвовать в разработке AI-решения для анализа документов, изображений и текста (KYC-верификация), включая работу с Computer Vision (CV), OCR и NLP. -Подбирать и адаптировать модели под бизнес-задачи.
Location: India; Bangalore; Delhi
Workplace: Remote
We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Technical Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a large variety of tasks related to our customers locally in India as well as more regionally across APJ and EMEA. This is a customer-facing role that will include customer interactions via chat, calls, Slack messages, and virtual meetings over video. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post- sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll-up their sleeves and help us expand our regional presence in India!
WHAT YOU WILL BE DOING:
- Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings
- Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training
- Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers
- Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers
AND OF COURSE:
- You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone
- You will build strong, trusted relationships with colleagues, customers, and partners
WHAT YOU BRING ALONG:
- Technical breadth and depth in ClickHouse open-source or Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems, Kubernetes, Docker
- Previous technical experience in roles such as Support Engineer, Technical Account Manager, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer
- Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment
- Strong written and verbal English communication skills and the ability to work fully remote with reliable connectivity
- A mindset of teamwork, global engagement, empathy, and solving challenging problems
- A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet
- The ability to build trusted relationships with colleagues, customers, and partners
- You are self-driven, curious, and eager to continuously learn and grow
BONUS POINTS:
- Experience with ClickHouse
- Experience with OSS and open-source technologies, as a user, community member, or contributor
- Experience with Azure, GCP or AWS
- Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems.
You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members.
This role combines substantial engineering work with technical leadership and delivery ownership.
WHAT YOU'LL DO
- Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment.
- Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards.
- Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early.
- Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost.
- Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows.
- Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling.
- Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery.
- Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures.
- Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid.
- Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.
WHAT WE'RE LOOKING FOR
- Experience building, deploying and operating production software on a major cloud platform.
- Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD.
- Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code.
- Experience with data pipelines, object storage, relational databases and reliable processing of large datasets.
- Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely.
- Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards.
- Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work.
- Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists.
Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack.
WHAT SUCCESS LOOKS LIKE?
The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Espoo; Valencia; Warsaw
Workplace: Hybrid
ICEYE ENGINEERING INTERN LAB 2027
Get paid to build the future of space.
Join ICEYE, the company operating the world’s largest Synthetic Aperture Radar (SAR) satellite constellation, for a fully paid, onsite internship where AI meets real-world engineering. The ICEYE Engineering Internship Program (“The ICEYE Intern Lab”) is designed for talented students in computer science, engineering, hardware, data science, and AI who want to apply their skills to meaningful challenges in earth observation, sensor technology, and intelligent systems.
With a flexible term of 3–6 months, interns work onsite at ICEYE’s engineering offices (Finland, Spain or Poland), collaborating directly with hardware, software, and operations teams on mission-driven projects. We seek Master’s and Bachelor’s students with strong AI tool fluency, curiosity, and a hands-on builder mindset.
You’ll be embedded in one of ICEYE’s engineering teams as a contributing team member for the duration of the program, contributing to real satellite and analytics projects (not simulations) that advance ICEYE’s mission to make the world safer and more resilient through persistent monitoring.
This second cohort officially launches in May 2027, with opportunities for early placement available.
Application Deadline: December 21, 2026
Decision Timeline: Offers to be made on a rolling basis with final decisions made by February 15, 2027
Cohort start date: May 2027
Qualifications:
Education
- Currently enrolled as a Bachelor's student (3rd year or later) or Master's student in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Electrical Engineering, Mechanical Engineering, Aerospace, or a closely related field.
- Recent university graduates are also eligible.
- Must be eligible to work onsite in Finland, Spain or Poland (EU/EEA citizen, or able to secure an appropriate visa with the support of ICEYE).
Technical Skills
Our teams and projects span many different disciplines, but they are all highly technical and hands-on. Here is an example of technical skills needed in certain areas:
- For software engineering roles: strong programming proficiency in Python, Go, Rust, and/or C++
- For data science roles: computer vision, LLM, and/or classical machine learning experience. Python as a key programming language; data processing, analysis, or visualization tools (e.g., NumPy, Pandas, Matplotlib)
- All: Deep experience using AI coding assistants (e.g., Claude Code, Devin, Cursor, etc.) to enhance productivity, especially learning how to use agentic workflows.
- All: Understanding of software development practices: version control (Git), testing, debugging, and documentation.
AI Mindset
- AI development tool literacy (e.g. AI IDE or coding agents)
- Demonstrated curiosity about how AI can accelerate real-world engineering.
- Comfortable experimenting with AI-first workflows and prompt-based problem solving.
- Willingness to learn new tools quickly and apply them to open-ended technical challenges
You …
- have strong communication skills and ability to work in multidisciplinary teams (hardware, software, operations).
- are not afraid to ask a lot of questions.
- are proactive, resourceful, and a hands-on problem solver.
- are able to manage time effectively in a fast-paced, high-impact environment.
- are comfortable giving and receiving feedback, and presenting work during weekly reviews and demo days.
ICEYE Gives …
- Salary 1 000 - 3 300€ /month based on location and years of study
- Flights/transportation to your ICEYE office location
- Housing
- Work visa (if needed)
Recruitment process
1. Application: Submit your CV and answer a few short questions instead of a cover letter (about 30 minutes).
2. Peer Interview (30 min): A conversation with a former ICEYE intern about how you work, learn and collaborate.
3. Team matching: We match you with the engineering team that best fits your skills and interests.
4. Technical Interview with your future team (60 min): A short problem-solving exercise and a conversation with the team lead. We care more about how you approach the problem than about getting a perfect answer.
5. Decisions and offer
- Оптимизация и масштабирование LLM-инференса (SGLang, vLLM, TensorRT-LLM). - Работа с моделями до 1T+ параметров и распределённой GPU-инфраструктурой.
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