engineering director

ai engineer

platform engineer

test engineer

ai engineer intern

staff engineer

Rain Technologies Inc.

<div><p><b>Rain</b> is the <b>world's first AI Financial Health Platform</b>, serving <b>3.5 million employees</b> at leading organizations like <b>McDonald's, Marriott, and T-Mobile</b>. Rain works in the background to optimize every employee's financial life to prevent shortfalls and build long-term stability. Backed by <b>top investors including QED and Prosus</b>, Rain has <b>raised $150M in venture funding to fuel our next stage of hyper growth.</b></p><p><b>
About the User Tribe</b><br>
<br>
We are looking for a Staff Backend Engineer in EMEA. This position is remote. As a senior technical leader on the team, you will set the technical direction for major areas of our backend platform, including API integrations with 3rd-party vendors and partners, and the core systems that sit at the intersection of the banking, payroll, and timekeeping domains.</p><p>
This is a rare opportunity to build the foundations of a whole new set of personal financial health products. You will shape the architecture, set the engineering bar, and lead the efforts that help users maintain positive cash availability and take control of their financial lives. Working closely with our international product and engineering teams, you will operate in a fast-paced environment where strong system design judgment and the ability to move quickly without sacrificing reliability are essential.</p><p>
Our ideal candidate is excited to tackle the toughest technical challenges, drive strategic thinking across the organization, and bring extensive experience designing and building novel fintech products from the ground up.</p><p><b><br>
What You&rsquo;ll Do</b></p><ul><li><p>
Set technical direction and architecture for major areas of the backend platform, translating ambiguous product goals into robust, scalable technical strategy</p></li><li><p>
Design and implement reliable systems and applications in a fully distributed micro-services architecture, leading by example on engineering quality</p></li><li><p>
Build and maintain integrations with 3rd-party vendors and partners</p></li><li><p>
Design and implement highly available RESTful APIs supporting user-facing web and mobile applications</p></li><li><p>
Establish reusable patterns, frameworks, and libraries that ensure scalability and accelerate future product development</p></li><li><p>
Enforce observability best practices, leveraging tools like logging, metrics, and alerting systems</p></li><li><p>
Create and maintain detailed technical documentation (architecture designs, APIs, workflows, and system configurations)</p></li><li><p>
Continuously monitor systems for opportunities to maximize performance and scalability</p></li><li><p>
Mentor engineers and raise the technical bar across the team</p></li></ul><h1 class="jobSectionHeader"><b>
Who You Are</b></h1><ul><li><p>
You have at least 8 years of professional experience as an engineer, with a track record of operating at a staff or principal level</p></li><li><p>
You have extensive experience designing and building novel fintech products, ideally from concept to scale</p></li><li><p>
You have strong system design skills and thrive in a fast-paced environment, balancing speed with long-term technical health</p></li><li><p>
You have a strong ability to take ownership of large, ambiguous initiatives, driving them from concept to completion while proactively identifying challenges and solutions</p></li><li><p>
You have excellent cross-functional collaboration and communication skills, and can influence decisions across teams</p></li><li><p>
You're deeply familiar with complex large scale distributed systems</p></li></ul><h1 class="jobSectionHeader"><b>
Required Technical Qualifications</b></h1><ul><li><p>
Proficient in backend languages: Go/Golang, Python</p></li><li><p>
Strong expertise in designing and developing RESTful APIs</p></li><li><p>
Expertise in SQL and NoSQL database technologies, including data model design and optimization</p></li><li><p>
Proven experience building reliable and scalable user-facing applications</p></li><li><p>
Proficiency in message queuing systems such as Kafka (preferred), RabbitMQ, or Flink</p></li><li><p>
Familiarity with Cloud technologies: AWS/Azure/GCP, serverless, Docker, Kubernetes, ECS among others</p></li><li><p>
Effective release management experience for ensuring zero downtime and experience with CI/CD frameworks such as Gitlab CI and Github actions</p></li></ul><p><b>
Diversity, Equity and Inclusion Commitments</b></p><p>
As part of our dedication to the diversity of our workforce, Rain is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or accommodation due to a disability, you may contact us at HR-US@rain.us.</p><p><b>
What&rsquo;s Next</b></p><p>
Ensuring a smooth and enjoyable candidate experience is critical for us. Our interview process tends to take about <b>4 weeks</b> to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don&rsquo;t be afraid to let us know if you need more flexibility.</p></div>

Staff Engineer

Rituals (B Corp™)

<div>
 Are you excited to be part of our dynamic team where business meets technology? Driving Rituals' growth through innovative tools within our Tech &amp; Data department.
 <br/>
 <br/>
 Share your talents
 <br/>
 <br/>
 As Staff Engineer &ndash; Cloud &amp; Observability, you will help shape the technical foundation that enables engineering teams across Rituals to build, scale and operate with confidence. You will be part of our Technology Platforms organisation, where we create resilient, secure and easy-to-use platform capabilities. Rituals is a fast-growing global company, expected to continue significant expansion in the coming years. This growth requires strong, scalable and standardised cloud and observability platforms that enable teams to deliver reliably at increasing scale.
 <br/>
 <br/>
 In this role, you will define the technical vision and long-term roadmap for our Google Cloud foundation and enterprise observability capabilities. Your scope includes cloud landing zones, identity and access management, networking, policy frameworks, security controls and a new observability platform based on OpenTelemetry standards.
 <br/>
 <br/>
 This is a strategic role at the heart of our shift from a project organisation to a product operating model. You will work closely with other platform teams, product teams, and senior stakeholders. By combining technical leadership and platform thinking, you will help create reusable platform capabilities that improve reliability, security and developer experience for product teams across Rituals, enabling faster delivery and accelerating time-to-value.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define the technical vision and long-term technical roadmap for our GCP cloud foundation and enterprise observability platform, in close partnership with the Product Owner and Head of Technology Platforms.
  </li>
  <li>
   Design and evolve core cloud platform capabilities such as landing zones, identity and access management, networking, security controls and policy frameworks, ensuring a secure, scalable and standardised foundation for engineering teams across Rituals.
  </li>
  <li>
   Lead the design and implementation of a new enterprise observability platform based on OpenTelemetry standards, enabling end-to-end visibility across logs, metrics and traces.
  </li>
  <li>
   Build self-service platform capabilities and paved roads, including infrastructure modules, templates and abstractions that help teams deliver independently, consistently and with less operational complexity.
  </li>
  <li>
   Establish and evolve platform standards, guardrails and governance models covering architecture, security, compliance and FinOps, ensuring alignment and cost-effective usage across the organisation.
  </li>
  <li>
   Influence architectural direction across the organisation, using RFCs and ADRs to enable clear, scalable and well-governed technical decision-making.
  </li>
  <li>
   Mentor and guide engineers across teams and work closely with stakeholders across Technology Platforms, product teams and leadership to improve platform adoption and developer experience.
   <br/>
   <br/>
  </li>
 </ul>
 Bring all of you
 <br/>
 <br/>
 We are looking for someone who combines deep technical expertise with an enabling leadership style. You know how to build platforms that are secure, scalable and reliable, while also ensuring they are intuitive to adopt.
 <br/>
 <br/>
 You bring a platform-as-a-product mindset and care about creating capabilities that genuinely help teams move faster and better.
 <br/>
 <br/>
 You are comfortable in a changing environment, where new capabilities are being built and legacy workloads are being migrated. You can connect long-term technical strategy with practical decisions and bring others along through clarity, collaboration and sound judgement. Just as importantly, you enjoy mentoring others and improving platforms through real feedback and use cases.
 <br/>
 <br/>
 <strong>
  To be successful in this role, you bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Extensive experience in cloud engineering, SRE, infrastructure or platform design, including several years in senior technical or architectural roles with broad organisational influence.
  </li>
  <li>
   Deep expertise in Google Cloud Platform (GCP) and hands-on experience designing and operating enterprise-grade cloud foundations with a focus on scalability, automation, self-service, and reliability.
  </li>
  <li>
   Strong experience with platform engineering, including building internal developer platforms, paved roads and infrastructure-as-code (IAS) solutions, for example with Terraform, OpenTofu, Crossplane or Pulumi, combined with CI/CD and policy-as-code practices.
  </li>
  <li>
   Solid experience in secure platform engineering, including identity and access management (e.g. CPAM), secure-by-design patterns, enterprise networking and security controls, and familiarity with governance and cloud security posture (CSPM) topics.
  </li>
  <li>
   Deep knowledge of observability and OpenTelemetry, with experience designing and implementing enterprise observability capabilities across logs, metrics and traces at scale.
  </li>
  <li>
   The ability to translate technical complexity into clear direction, decisions and mentoring for teams, contributing to a culture of reliability, scalability and continuous improvement.
   <br/>
   <br/>
  </li>
 </ul>
 At Rituals, we are committed to care for everyone and strive to create a diverse workplace where all employees belong and have equal opportunities to succeed. Read more about our commitment here https://careers.rituals.com/en-NL/work-with-heart-and-soul/diversity-and-inclusion/
 <br/>
 <br/>
 <strong>
  Location and Working Conditions
  <br/>
  <br/>
 </strong>
 At Rituals, we believe in the power of connection: with ourselves, each other, and the world around us. That is why we work 80% from the office (typically four days per week) and 20% from home. Together, we bring our brand philosophy to life by transforming everyday routines into meaningful moments.
 <br/>
 <br/>
 <strong>
  Our Benefits
  <br/>
  <br/>
 </strong>
 Working at Rituals means being part of a fast-growing, international environment, while staying grounded in what matters: people, wellbeing and meaningful work.
 <br/>
 <br/>
 <ul>
  <li>
   Competitive salary package
  </li>
  <li>
   Bonus opportunity
  </li>
  <li>
   Pension plan
  </li>
  <li>
   Commuting allowance
  </li>
  <li>
   Learning and development opportunities (training, internal growth, mentorship)
  </li>
  <li>
   Employee discount on Rituals products
  </li>
  <li>
   Wellbeing support initiatives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Next Steps
  <br/>
  <br/>
 </strong>
 Our process is designed to be thorough and transparent, so we can both make a confident choice.
 <br/>
 <br/>
 <ul>
  <li>
   Our recruiter will contact you within 10 working days
  </li>
  <li>
   Intro call with the recruiter to discuss your application and mutual fit
  </li>
  <li>
   An interview with the business to learn more about the role and assess your experience
  </li>
  <li>
   A second interview including a case study
  </li>
  <li>
   An online assessment (cognitive ability plus personality questionnaire)
  </li>
  <li>
   If the outcome is positive, you&rsquo;ll receive an offer to join our team
   <br/>
   <br/>
  </li>
 </ul>
 Benefits of working at Rituals
 <br/>
 <br/>
 <ul>
  <li>
   Unique opportunities for personal and professional growth
  </li>
  <li>
   Staff discount on Rituals products
  </li>
  <li>
   Attractive bonus
  </li>
  <li>
   Flexible working hours tailored to your personal rhythm
  </li>
  <li>
   Company &amp; team events
  </li>
 </ul>
</div>


Staff Engineer - Cloud (GCP) & Observability

TomTom

<div><div><p>We are building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As ML Staff Engineer, you will drive the algorithmic direction of our present and future in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. You will contribute as a senior technical authority and mentor within a small, high-velocity team.</p>
<p>
This spatial awareness stack will leverage modern transformer and end-to-end architectures to transform vehicle sensor data along with real-time 3D map data from the cloud into a 3D, semantically defined environment identifying all static and dynamic objects. This is a high-ownership technical role in a fast-moving, data-driven AI environment.</p>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<ul><li>Define and drive the technical direction for physical AI algorithms</li>
<li>Define and execute on a technical roadmap towards state-of-the-art reinforcement learning using physical AI world models.</li>
<li>Design, implement, and improve ML / vision transformer models for 3D awareness and planning. These include Gaussian Splatting (3DGS), Diffusion, object detection, multi-object tracking, semantic segmentation, and occupancy modeling</li>
<li>Architect multi-modal fusion approaches (camera, LiDAR, RADAR) to build 3D environments</li>
<li>Per the roadmap, identify where larger end-to-end models should replace more traditional approaches</li>
<li>Apply advanced ML techniques (Transformers, representation learning, large-scale models) to improve perception performance</li>
<li>Lead structured experimentation and benchmarking to deliver measurable gains in accuracy and robustness</li>
<li>Translate research ideas into reliable, scalable ML solutions</li>
<li>Provide technical guidance and mentorship to perception engineers</li>
</ul></div><h3 class="jobSectionHeader"><b>What You'll Need</b></h3><div>
<ul><li>7+ years of experience in machine learning, vision transformers, diffusion, or computer vision</li>
<li>Deep expertise in modern deep learning architectures</li>
<li>Strong hands-on experience with PyTorch (or equivalent frameworks)</li>
<li>Proven experience building and iterating on large-scale ML models</li>
<li>Strong mathematical foundations in optimization and probabilistic modeling</li>
<li>Track record of delivering measurable improvements in ML system performance</li>
<li>Experience guiding technical decisions within a small engineering team</li>
</ul></div><h3 class="jobSectionHeader"><b>What's Nice to Have</b></h3><div>
<ul><li>Experience in autonomous systems or robotics perception</li>
<li>Publications or patents in machine learning or perception</li>
<li>Experience with 3D data representations (gaussian spatting, point clouds, BEV, voxel grids) and 3D engines like Unity</li>
<li>Familiarity with large-scale training or foundation models</li>
<li>Experience mentoring engineers in advanced ML topics</li>
</ul></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We are the ADAS &amp; ADS Product Unit, leading the production of TomTom&rsquo;s HD maps and ADAS technology.
</div><div>In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you&rsquo;ll collaborate on groundbreaking location-based technologies and applications.</div><div>
More specifically, you&rsquo;ll be at the forefront of the creation of advanced HD maps. You&rsquo;ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.<br>
</div><div></div><br>
<br>
<div><b>At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Machine Learning Staff Engineer – ADAS Online

Workato

<div>
 <strong>
  About Workato
  <br/>
  <br/>
 </strong>
 Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
 <br/>
 <br/>
 <strong>
  Why join us?
  <br/>
  <br/>
 </strong>
 Ultimately, Workato believes in fostering a
 <strong>
  flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
 </strong>
 . We are driven by
 <strong>
  innovation
 </strong>
 and looking for
 <strong>
  team players
 </strong>
 who want to actively build our company.
 <br/>
 <br/>
 But, we also believe in
 <strong>
  balancing productivity with self-care
 </strong>
 . That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
 <br/>
 <br/>
 If this sounds right up your alley, please submit an application. We look forward to getting to know you!
 <br/>
 <br/>
 <strong>
  Also, Feel Free To Check Out Why
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
  </li>
  <li>
   Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  </li>
  <li>
   Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  </li>
  <li>
   Quartz ranked us the #1 best company for remote workers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 We are looking for a
 <strong>
  Staff AI Engineer
 </strong>
 to play a key role in building the core of our AI platform. In this position, you will design and develop production-grade systems that power intelligent automation, agentic workflows, and large-scale retrieval services. This is a highly technical, hands-on role that involves close collaboration with product and platform teams to transform advanced AI concepts into reliable, scalable, and secure solutions used across our enterprise ecosystem. You will also be responsible to:
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and maintain AI-powered services and APIs, leveraging LLMs (OpenAI, Anthropic, Qwen, OSS models) and custom ML models.
  </li>
  <li>
   Develop an enterprise-grade agentic framework that enables orchestration, retrieval, and collaboration between multiple AI agents.
  </li>
  <li>
   Implement and optimize knowledge retrieval systems and agentic search capabilities using vector databases such as Qdrant and ElasticSearch.
  </li>
  <li>
   Write well-structured, efficient, and testable Python code for production services, experimentation, and internal developer tools.
  </li>
  <li>
   Build and maintain shared Python libraries and SDKs used across multiple applications and microservices.
  </li>
  <li>
   Collaborate with cross-functional teams on architecture, internal protocols, and API standards to ensure consistency and reliability across the platform.
  </li>
  <li>
   Develop and enhance monitoring, validation, and observability for production-grade AI solutions.
  </li>
  <li>
   Drive the full software development lifecycle - from design and implementation to deployment, monitoring, and continuous improvement.
  </li>
  <li>
   Identify and resolve performance bottlenecks, reliability issues, and scaling challenges in complex, data-intensive environments.
  </li>
  <li>
   Participate in code reviews and technical discussions, mentoring other engineers and contributing to a culture of excellence.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Example Projects
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Building an evaluation and observability framework for AI model performance and reliability.
  </li>
  <li>
   Developing an agentic orchestration platform that enables collaboration among multiple AI agents and tools.
  </li>
  <li>
   Implementing semantic retrieval and agentic search capabilities over large enterprise knowledge bases.
  </li>
  <li>
   Designing AI services that process and reason over high-volume real-world data at scale.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications / Experience / Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  </li>
  <li>
   5+ years of experience as a Software Engineer, with strong proficiency in Python.
  </li>
  <li>
   Proven track record of building and maintaining production-grade systems using Python.
  </li>
  <li>
   Strong understanding of distributed systems, API design, and data-driven architectures.
  </li>
  <li>
   Experience with relational and non-relational databases (PostgreSQL, Elastic, Qdrant, or similar).
  </li>
  <li>
   Familiarity with AI/ML system design, including LLM integration and evaluation pipelines.
  </li>
  <li>
   Knowledge of DevOps and observability practices (CI/CD, monitoring, metrics, and model validation).
  </li>
  <li>
   Python
  </li>
  <li>
   FastAPI
  </li>
  <li>
   LLM APIs (OpenAI, Anthropic, Qwen, OSS)
  </li>
  <li>
   LiteLLM
  </li>
  <li>
   Qdrant
  </li>
  <li>
   PostgreSQL
  </li>
  <li>
   ElasticSearch
  </li>
  <li>
   Langfuse
  </li>
  <li>
   Kubernetes
  </li>
  <li>
   GitHub Actions
  </li>
  <li>
   ArgoCD
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with multiple LLM providers (OpenAI, Anthropic, Qwen, open-source models).
  </li>
  <li>
   Background in developer platforms or AI infrastructure services.
  </li>
  <li>
   Familiarity with vector databases, semantic retrieval, and knowledge graph architectures.
  </li>
  <li>
   Exposure to Langfuse, LiteLLM, LangChain, or similar frameworks.
  </li>
  <li>
   Experience developing enterprise-scale SaaS or distributed backend systems.
  </li>
  <li>
   Contributions to open-source projects in Python, AI, or infrastructure engineering.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills / Personal Characteristics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent communication skills, with the ability to convey complex technical ideas clearly to both technical and non-technical audiences.
  </li>
  <li>
   Collaborative and proactive approach, comfortable working across teams in a dynamic environment.
  </li>
  <li>
   Strong analytical and problem-solving abilities, with a focus on continuous improvement and innovation.
  </li>
  <li>
   Curiosity and a genuine interest in emerging AI technologies and modern backend architectures.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  (REQ ID: 2460)
 </strong>
</div>


Staff AI Engineer

Cloudbeds

<div>
 <p>
  <span>
   <strong>
    <br/>
    What Makes Us Unique&nbsp;
    <br/>
    <br/>
   </strong>
  </span>
 </p>
 <p>
  At Cloudbeds, we're not just building software, we&rsquo;re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 &ndash; but we're just getting started.&nbsp;
 </p>
 <p>
  <strong>
   Location - Remote (Europe)
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  <strong>
   How You'll Make an Impact:
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  As a
  <strong>
   Staff Machine Learning Engineer
   <br/>
   <br/>
  </strong>
  , you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.
 </p>
 <p>
  You&rsquo;ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You&rsquo;ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you&rsquo;ll own the end-to-end development of our revenue management application&mdash;ensuring hotels have the reliable, accurate insights they need to maximize their success.
 </p>
 <p>
  <strong>
   Our Machine Learning Team:
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms.&nbsp;
 </p>
 <p>
  We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency.&nbsp;
 </p>
 <p>
  People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.
 </p>
 <p>
  <strong>
   What You Bring to the Team:
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker)
  </li>
  <li>
   Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale.
  </li>
  <li>
   Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices.
  </li>
  <li>
   Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps.
  </li>
  <li>
   Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions.
  </li>
  <li>
   Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies.
  </li>
 </ul>
 <p>
  <strong>
   What Sets You Up for Success:
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production.
  </li>
  <li>
   Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
  </li>
  <li>
   Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms)
  </li>
  <li>
   Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms.
  </li>
  <li>
   Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes).
  </li>
  <li>
   Expert-level SQL skills and experience working with large datasets for analysis and modeling.
  </li>
  <li>
   Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
  </li>
  <li>
   Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.
  </li>
  <li>
   Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  </li>
 </ul>
 <p>
  <strong>
   Bonus Skills to Stand Out (Optional):
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
  </li>
  <li>
   Experience with data quality monitoring tools and frameworks.
  </li>
  <li>
   Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field.&nbsp;
  </li>
 </ul>
 <p>
 </p>
 <span>
  <strong>
   <br/>
   What to Expect - Your Journey with Us&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <p>
  Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold &ndash; we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
 </p>
 <p>
  Learn more online at
  <span>
   cloudbeds.com
  </span>
 </p>
 <span>
  <strong>
   <br/>
   Company Awards to Check Out!&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <ul>
  <li>
   Best All-In-One Hotel Management System | HotelTechAwards (2025)
  </li>
  <li>
   Overall 10 Best Places to Work | HotelTechAwards (2025)
  </li>
  <li>
   Most Loved Workplace&reg; Certified (2024)&nbsp;
  </li>
  <li>
   Top 10 People&rsquo;s Choice(2024)
  </li>
  <li>
   Deloitte Technology Fast 500 (2024)
  </li>
 </ul>
 &nbsp;
 <span>
  <strong>
   <br/>
   Discover our Benefits:
   <br/>
   <br/>
  </strong>
 </span>
 <ul>
  <li>
   Remote First, Remote Always&nbsp;
  </li>
  <li>
   PTO in accordance with local labor requirements
  </li>
  <li>
   Monthly Wellness Fridays - enjoy an extra long weekend every month
  </li>
  <li>
   Full Paid Parental Leave
  </li>
  <li>
   Home office stipend based on country of residency
  </li>
  <li>
   Professional development courses in Cloudbeds University
  </li>
  <li>
   Access to professional development, including manager training, upskilling and knowledge transfer.
  </li>
 </ul>
 <span>
  <strong>
   <br/>
   Everyone is Welcome - A Culture of Inclusion&nbsp;&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <p>
  <em>
   Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
  </em>
 </p>
 <p>
  <em>
   Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at
   <span>
    accommodations@cloudbeds.com
   </span>
   . Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
  </em>
 </p>
 <p>
  <em>
   To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
  </em>
 </p>
 <p>
 </p>
</div>


Staff ML Engineer

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 <br/>
 <br/>
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 <br/>
 <br/>
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 <br/>
 <br/>
 <strong>
  About The Role &amp; Team
  <br/>
  <br/>
 </strong>
 Advertising is one of the fastest growing areas in eBay, defining the future of our company. As the digital advertising industry rapidly evolves, ecommerce advertisers are increasingly finding greater value with eBay. This shift away from traditional platforms like Google and Facebook presents a tremendous opportunity for us. Our advertising initiatives improve eBay&rsquo;s ecommerce by helping sellers move inventory and surfacing high-quality items for buyers.
 <br/>
 <br/>
 Our team is at the forefront of building end-to-end ML and data-driven advertising systems that power both ad serving and advertiser-side optimization. We develop sophisticated recommendation models to drive marketplace monetization and build relevant buyer experiences. Additionally, we provide intelligent, automated mentorship to help advertisers optimize their targeting, bids, budgets, inventory, and business goals through advanced machine learning techniques, including GenAI. This high-impact, fast-growing area demands the use of massive datasets and modern ML methods across ranking, forecasting, optimization, and experimentation.
 <br/>
 <br/>
 As a Machine Learning Engineer within our Advertising team, you will contribute significantly to designing machine learning models and algorithms, directly affecting our advertising systems.
 <br/>
 <br/>
 <strong>
  What You Will Accomplish
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead End-to-End ML Systems at Scale: Architect, build, and evolve large-scale machine learning systems powering ad ranking, recommendations, and advertiser optimization, with ownership over system design, reliability, and long-term technical direction.
  </li>
  <li>
   Drive Strategic, Data-Informed Decisions: Leverage large-scale production data to identify high-impact opportunities, define ambiguous problem spaces, and influence product and business strategy through data-driven insights.
  </li>
  <li>
   Own and Elevate the ML Lifecycle: Set best practices across the full ML lifecycle&mdash;feature engineering, model development, evaluation, deployment, and monitoring&mdash;while improving robustness, reproducibility, and scalability of production pipelines.
  </li>
  <li>
   Collaborate Across Functions to Shape Solutions: Partner closely with product, engineering, and research to translate complex business objectives into scalable ML solutions, influencing roadmap and prioritization through technical expertise.
  </li>
  <li>
   Optimize System Performance at Scale: Define, own, and evolve key system metrics (e.g., relevance, revenue, latency, reliability). Lead efforts to improve system efficiency, scalability, and cost-performance tradeoffs across high-throughput environments.
  </li>
  <li>
   Advance ML Innovation in Production: Drive adoption of state-of-the-art approaches (e.g., deep learning, GenAI, LLM-based systems) and translate modern technology into practical, high-impact production systems.
  </li>
  <li>
   Provide Technical Leadership and Mentorship: Mentor engineers, lead design reviews, and set engineering standards. Act as a technical anchor for the team, setting a higher standard on ML engineering excellence and experimentation rigor.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s or PhD in Computer Science, Software Engineering, Mathematics, or a related field.
  </li>
  <li>
   Experiences in building and scaling production-grade ML systems, with a strong track record of delivering impactful solutions in complex environments.
  </li>
  <li>
   System-Level ML Expertise: Proven ability to design, deploy, and operate large-scale ML systems, including pipelines, online services, and experimentation frameworks.
  </li>
  <li>
   Strong Technical Foundations: Expertise in data structures, algorithms, and distributed system design, with the ability to make high-quality architectural tradeoffs.
  </li>
  <li>
   Programming &amp; ML Stack Proficiency: Strong coding skills in Python, Scala, or similar languages. Hands-on experience with modern ML frameworks (e.g., PyTorch, Hugging Face, Ray, vLLM) and large-scale data processing tools (e.g., Spark, Hadoop).
  </li>
  <li>
   Data &amp; Analytical Excellence: Exceptional ability to analyze large datasets, perform deep dives, and translate findings into actionable improvements. Strong SQL skills and experience with experimentation and segmentation.
  </li>
  <li>
   Influence &amp; Communication: Excellent communication skills with the ability to articulate complex technical concepts, influence partners, and drive alignment across teams.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Details
  <br/>
  <br/>
 </strong>
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 <br/>
 <br/>
 We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
</div>


Staff ML Engineer - Advertising

JetBrains

<div><div><p>AI is fundamentally changing how developers write, understand, debug, and maintain software.</p>
<p>
At JetBrains, we're exploring what an AI-native development experience should look like for C++ developers. We are looking for a senior technical leader to help shape this future by building AI-powered workflows, integrating coding agents into developer tools, and defining how CLion can become a first-class environment for AI-assisted software development.</p>
<p>
This is a highly hands-on role focused on technical leadership rather than people management. You should expect to spend most of your time prototyping, implementing, and validating AI-powered workflows while helping shape technical direction through hands-on engineering. You'll work at the intersection of developer tools, AI agents, IDE architecture, and product strategy while helping define how software developers work with AI in the future.</p>
<h3 class="jobSectionHeader"><b>
Example problems you'll work on:</b></h3>
<ul><li>How can coding agents become more effective when working with large C++ codebases?</li>
<li>How can CLion's debugging, code understanding, and navigation capabilities be integrated into AI-assisted development workflows?</li>
<li>How should AI-powered developer experiences be evaluated and benchmarked in real-world development scenarios?</li>
<li>What capabilities should AI agents have access to inside a modern IDE?</li>
<li>How can we make CLion a better environment for developers who increasingly collaborate with AI tools and agents?</li>
</ul><h3 class="jobSectionHeader"><b>In this role, you will:</b></h3>
<ul><li>Shape and deliver AI-powered features for CLion and C++ development workflows.</li>
<li>Design the architecture for AI integrations, agent tools, and C++-specific AI capabilities.</li>
<li>Build practical benchmarks and evaluation frameworks for AI-assisted C++ development scenarios.</li>
<li>Prototype and validate new AI workflows, including debugging, code understanding, refactoring, and project navigation.</li>
<li>Collaborate with product managers, ML engineers, QA engineers, stakeholders, and senior developers to shape and deliver the roadmap.</li>
<li>Work closely with JetBrains AI, ML, and product teams to help define the AI strategy for the C++ ecosystem.</li>
<li>Evaluate and prioritize AI initiatives, bringing new ideas and proposals that align with the broader JetBrains AI strategy.</li>
<li>Contribute hands-on to technical design, software architecture, and implementation in a large, mature codebase.</li>
<li>Help define a technical roadmap for AI agent and tool integrations in C++ development workflows.</li>
<li>Build trust and alignment across the C++ Ecosystem, AI, Product, QA, and ML organizations</li>
</ul><h3 class="jobSectionHeader"><b>We'd love to talk if you have:</b></h3>
<ul><li>Significant software engineering experience as a Staff Engineer, Principal Engineer, Technical Lead, or similar senior technical role.</li>
<li>Strong experience with Kotlin, Java, or other JVM technologies, or the ability to quickly become productive in a JVM-based codebase.</li>
<li>Experience building AI-powered products, developer tools, coding assistants, agents, or LLM-based workflows.</li>
<li>Strong understanding of how modern coding agents operate, including tool calling, context management, MCP, and evaluation techniques.</li>
<li>A track record of driving technical direction in ambiguous and rapidly evolving areas.</li>
<li>Strong product instincts and an ability to balance innovation with practical delivery.</li>
<li>Excellent communication skills and the ability to influence without formal authority.</li>
</ul><h3 class="jobSectionHeader"><b>Nice to have</b></h3>
<ul><li>Experience with C++ development workflows, compilers, debuggers, language tooling, or developer productivity products.</li>
<li>Experience with IDE internals, language servers, code analysis, refactoring systems, or static analysis.</li>
<li>Experience leading small teams or acting as a technical lead.</li>
<li>Experience working on AI-native developer products.</li>
</ul><h3 class="jobSectionHeader"><b>Why this role is unique</b></h3>
<p>
Rather than building generic chat experiences, you'll be working on challenges such as AI-assisted debugging, agent-powered code understanding, developer workflow automation, and evaluation systems for AI-powered development tools. Your work will directly influence products used by millions of developers worldwide and help shape JetBrains' broader vision for AI-powered software development.</p>
<h3 class="jobSectionHeader"><b>
Why join JetBrains?</b></h3>
<ul><li>Strong base salary. We offer competitive pay that reflects your skills and experience.</li>
<li>Flexible work location. Enjoy the freedom to work from home or from the office.</li>
<li>Remote work. Spend up to 30 days per year working remotely from abroad.</li>
<li>Extra time off. More days to relax, recharge, and do the things you love.</li>
<li>Medical insurance allowance. Enjoy peace of mind for you and your family</li>
<li>Learning and development opportunities. Access to conferences, courses, and language classes.</li>
<li><b>Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)</b></li>
<li>Language classes. Pick up the local language or sharpen your English skills.</li>
<li>Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.</li>
<li>Mental health support. To help you feel your best, we provide easy access to professional mental health services.</li>
<li>Sports benefit. Enjoy an on-site gym or sports club stipend.</li>
<li>Internal events. Join company-wide celebrations and team gatherings.</li>
</ul>
<ul><li>Some benefits may vary depending on location.</li></ul><br>
<p></p>
<p>
#LI-DNI</p></div><div><p><b><br>
We are an equal opportunity employer</b><br>
<br>
We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.</p>
<p><i>
We process the data provided in your job application in accordance with the </i><i>Recruitment Privacy Policy.</i></p></div></div>

AI Technical Lead - C++ Ecosystem

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