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Senior MLOps Engineer
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Our Mission: Why Lighthouse?
At Lighthouse, we’re on a mission to revolutionize commercial strategy as hospitality’s most powerful AI platform. We take the world's largest hotel data network and transform it into real-time intelligence that drives action. We don't just deliver insights; we empower businesses to make decisions that move revenue.
With $370M in Series C funding and over $100M in ARR, we are scaling at lightspeed. Our 850+ teammates across 35 countries aren't just building software—they are leveraging cutting-edge AI to help hoteliers be the first to act. Tens of thousands of hotels across 185 countries trust Lighthouse to execute their commercial strategy, including every one of the top 15 global chains and thousands of independent hotels that consistently outperform their markets. With Lighthouse AI, the intelligence gets deeper. Decisions get smarter. Actions get faster. We help hoteliers be first to act.
Lighthouse Values: Our guiding light
We are Lumineers. Our shared values keep us on a collaborative path fostering a cultural and customer centric environment
- Pursuit of greatness: We’re innovators who care deeply about our customers’ success. Our team brings their best work, stays curious, and delivers excellence through attention to detail
- Meaningful work matters: We make every moment count by knowing what to deliver, why it matters, and how it drives Lighthouse forward
- Elevate each other: We don’t just work together - we grow together. What unites us is understanding each other as people and working toward shared goals
We’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
Job details
● 💼 Engineering Team
● 📍 Belgium - Ghent
● 🕜 Full-Time/Hybrid
What you will do
Reporting to our Director of Data Science, you will be a key player in our Data Organisation. As our new Senior MLOps Engineer, your mission is to design, build, and maintain the robust infrastructure that powers our machine learning solutions, from classical models to new LLM-powered features and AI agents. Your role has a crucial enablement mandate: you will not only serve the Data R&D team but also set up the foundations that empower other engineering teams to ship their own AI features into production, directly impacting hundreds of thousands of hotels globally.
Where you will have impact
- Design and implement the core infrastructure for deploying and managing both classical machine learning models and generative AI systems in production.
- Develop and maintain robust data pipelines using Airflow to ensure the timely delivery of high-quality data to our models.
- Deploy, monitor, and optimize the performance of machine learning models on Google Cloud Platform (GCP) using tools like VertexAI.
- Act as a force multiplier by creating foundational tools and providing guidance that enables other engineering teams to ship their own AI features.
- Collaborate closely with our Data Scientists to continuously improve the accuracy, reliability, and scalability of our models.
- Play a strategic role in the end-to-end delivery of Data R&D projects, from the research phase through to product implementation.
- Stay at the forefront of MLOps technologies and best practices, sharing your knowledge to elevate the entire team.
About our team
You'll be joining the Data R&D team, a core group on a mission to maximize the power of data. We support existing solutions and drive innovation, processing billions of data points daily to unlock new value for the hospitality industry. In this role, you will work closely with a wide range of technical collaborators, including your Senior MLOps peer, our Data Science teams, the DevOps team on GCP infrastructure, the Data Platform team on data quality and pipelines, and Product Backend Engineers to guide them in building their own AI-powered features.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Career development: Workshops, frameworks, and trainings to maximize your professional potential.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Mobility options: Mobility budget or company car (based on your job category).
- Net allowance: Support for home office related expenses.
- Vouchers: Lunch vouchers & Eco vouchers.
- Comprehensive health insurance: Extensive coverage for you and your dependents.
- Pension funding: Group insurance to secure your future.
- Referral bonuses: Earn rewards for bringing in new talent.
Who you are
- You have significant experience in an MLOps role, with a proven track record of putting machine learning models, including Generative AI, into production at scale.
- You have strong, hands-on experience with Google Cloud Platform (GCP), particularly with services like BigQuery, and VertexAI.
- You are highly proficient with Python and SQL.
- You have strong experience building and maintaining data pipelines with Airflow.
- You are familiar with common ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- You understand CI/CD pipelines (we use GitLab CI) and model monitoring principles.
- You are a strong communicator who can explain complex technical topics to a variety of stakeholders.
- You are curious, open-minded, and proactive, with a passion for exploring AI's capabilities in your own development work.
We welcome
- Experience with MLOps tools like MLflow or LLM-specific infrastructure like an Agent Development Kit (ADK).
- Familiarity with observability tools such as Grafana.
- A solid understanding of DevOps practices, including scripting and automation.
Technologies you will work with
Python, SQL, BigQuery, VertexAI, GKE, Cloud Run, Docker, Kubernetes, Terraform, Apache Airflow, GitLab CI/CD, Dataflow, scikit-learn, MLflow, VertexAI, ADK, Grafana.
Diversity, equity, inclusion, and belonging
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. Our commitment to equality is part of our culture. If you require reasonable accommodation at any point during the application or interview process, please notify your recruiter.
Not ticking every box? No problem! We value diverse backgrounds and unique skill sets, and we encourage individuals from all walks of life to apply. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you!
Learn more about our careers and recruitment process | Our company and leadership team | Beware of recruitment scams
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Senior Software Engineer, Strategic Customer Engagements
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Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role:
We are seeking a Senior Software Engineer to help develop transformative solutions for our most strategic accounts, starting with our Global Defense and Security customers. In this role, you will work directly with key partners, acting as a senior technical contributor and hands-on builder within a collaborative engineering team. Your mission will be to tackle complex, mission-critical customer challenges by building high-impact software solutions.
You will have a high degree of autonomy to design and build what is needed, turning ambiguous requirements into functional and reliable software. Your work will directly contribute to delivering on critical customer commitments and will help inform future product development. This role is ideal for an individual contributor who thrives in dynamic environments and enjoys taking ownership of complex technical problems from design to delivery.
This is a full-time, remote position based in the Netherlands or Belgium with up to 50% time onsite with the customer. If located near the office, you are expected to work from that office 3 days per week.
Impact You’ll Own:
- Contribute to the full development lifecycle: from discovery and decomposition to designing, building, and deploying bespoke solutions for customer challenges.
- Design and develop robust, full-stack software, including front-end, back-end, data integration, cloud infrastructure (e.g., AWS), and CI/CD pipelines.
- Work directly with customers to understand their operational challenges and translate them into clear technical requirements.
- Identify reusable patterns in customer solutions to inform broader platform development.
- Leverage the latest AI tooling and an AI-first mindset to drive rapid iteration, deliver value quickly, and adapt to evolving requirements with a bias for action.
- Mentor other engineers, contribute to code reviews, and help foster a collaborative team environment.
- Deliver critical commitments on time, understanding their direct impact on customer relationships and business objectives.
What You Bring:
- 6+ years of relevant work experience in software engineering or in an equivalent technical role.
- Bachelor’s Degree in a relevant field.
- Experience with geospatial software development and concepts (e.g., Rasterio, Fiona, Shapely, OpenLayers, GDAL).
- AWS or GCP experience.
- Proficiency in Python.
- Excellent knowledge of software engineering best practices, including coding standards, code reviews, source control management, and testing methodologies.
- Excellent customer engagement skills, with the ability to communicate complex technical concepts to diverse audiences.
- Experience with fast, iterative development cycles and an ability to adapt to shifting requirements.
- Willingness to travel 30-50% to customer sites within the region.
- Have the ability to obtain and maintain a security clearance.
What Makes You Stand Out:
- Experience with JavaScript, Java, Go or C#
Application Deadline:
July 8, 2026 by 11:59p / 23:59 CET (Central European Time)
Benefits While Working at Planet:
These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
- Paid time off including vacation, holidays and company-wide days off
- Employee Wellness Program
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity
- Volunteering Paid Time Off
#LI-REMOTE
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.
Ready to apply?
Apply to Planet
Healthcare Specialist (Fluent in French) - Freelance AI Trainer Project
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Are you a master of healthcare fluent in French eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of clinical support, patient education, and medical research. With high‑quality training data, tomorrow’s AI can improve healthcare access, assist professionals across borders, and enhance patient outcomes. That training data begins with you—we need your expertise to help power the next generation of AI.
We’re looking for healthcare specialists who live and breathe clinical workflows, patient care, diagnostics, public health, health systems management, and evidence-based practice—especially with knowledge of healthcare delivery in French-speaking regions. You’ll challenge advanced language models on topics like disease prevention, treatment protocols, health equity, healthcare ethics, patient communication, and clinical documentation—documenting every failure mode so we can harden model reasoning.
On a typical day, you will converse with the model in both English and French on real-world healthcare scenarios and theoretical questions, verify clinical accuracy and logical coherence, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.
A master’s degree in nursing, public health, medicine, healthcare administration, or a closely related field is ideal; fluency in French, clinical or administrative experience, and familiarity with patient care standards and healthcare systems signal fit. Clear, metacognitive communication—“showing your work”—is essential.
Ready to turn your healthcare expertise and French fluency into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.
We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.
Job title: Healthcare Specialist (Fluent in French) – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level
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