Machine Learning Solutions Engineer, Submer
Office located in Rubí, Barcelona
Cooling & automation for data centers
Be an early applicant
Cooling & automation for data centers
101-200 employees
Be an early applicant
Office located in Rubí, Barcelona
101-200 employees
Company mission
To create sustainable, efficient, and planet-friendly data centers and other energy-intense environments.
Role
Who you are
- Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
- Experience: 3+ years in a machine learning, data engineering, or solutions engineering role
- Strong understanding of machine learning algorithms, training workflows, and model deployment
- Experience with popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Familiarity with GPU acceleration and distributed computing (e.g., CUDA, NCCL, Dask, Horovod)
- Proficiency in programming languages like Python, with exposure to performance optimization techniques
- Cloud Expertise: Hands-on experience with cloud platforms (AWS, Azure, GCP) and orchestration tools like Kubernetes
- Problem-Solving: Proven ability to diagnose and resolve complex technical issues in real-time
- Communication: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences
What the job involves
- As a Machine Learning Solutions Engineer, you will play a pivotal role in designing, implementing, and optimizing AI and ML workflows for our clients
- You will work closely with our engineering, product, and customer success teams to deliver scalable and efficient solutions tailored to unique business needs
- This is a dynamic, hands-on role that blends technical expertise, problem-solving, and customer interaction
- Customer Engagement: Collaborate with customers to understand their AI/ML workflows, compute requirements, and business objectives
- Solution Design: Architect tailored GPU-powered solutions that optimize machine learning workloads on our platform
- Model Optimization: Assist clients with training, fine-tuning, and deploying machine learning models, ensuring optimal performance on our infrastructure
- Infrastructure Integration: Develop and deploy pipelines and tools to integrate client workflows with our platform, including containerization (Docker), orchestration (Kubernetes), and cloud APIs
- Performance Tuning: Monitor, troubleshoot, and optimize GPU performance for large-scale ML workloads, including distributed training and inference
- Technical Leadership: Provide technical guidance, best practices, and documentation to clients and internal teams
- Collaboration: Work with cross-functional teams to refine product features and ensure the platform meets evolving client needs
- Innovation: Stay updated on the latest trends in AI/ML, cloud computing, and GPU technologies to continuously improve our offerings
Application process
- Start: ASAP
Our take
Developments in the AI sector have increased the strain on data centres and chips, generating more heat from their processes than ever before. Cooling methods using air and water are not keeping pace with the amount of energy needed to support AI. Submer is on a mission to build data centres and processing plants that are as sustainable as they are efficient.
Submer’s eco-friendly product for data centres and chip processing is built from a coolant of non-flammable, biodegradable and synthetic liquid that physically acts in the same way as water. The racks for servers are stored and operate from within a smart container which further lessens the heat produced by data centres. Submer’s range of products even allows for the coolant to be reused via a heat exchanger.
It’s an inspired solution for an increasingly pressing problem. Data centres are going nowhere, yet the vital need for greener energy solutions puts pressure on these industries. It’s unsurprising then that Submer has raised considerable funding that is being channelled into the expansion of its product. Server component manufacturers are even beginning to build their products to be compatible with Submer’s, indicating the eagerness with which the industry is welcoming the solution.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 6 rounds)
Oct 2024
$55.5m
SERIES C
Jan 2022
$34m
SERIES B
Total funding: $109m
Company values
- SUSTAINABLE - Striving to generate a positive impact on our people and the planet, by helping build a world that is diverse, equal, and inclusive of all
- UNIQUE - Bringing together diverse cultures, talents, and skillsets. We are a special team of genuine innovators doing what we love to do best - building a better future.
- BOLD - Being ambitious, curious, creative, results-driven, agile and flexible
- MAKING SENSE - Making informed, meaningful choices with integrity that align with our customers, our values and our hearts
- EMPATHETIC - Focusing on collaborative and transparent problem-solving with our colleagues, partners, customers, for our planet
- RELIABLE - Delivering precise, quality innovation and technology through our commitment to continuous improvement
Company HQ
Rubí, Spain
Articles
Leadership
Patrick Smets
(CEO)Former COO of the company. Was previously an Associate Partner at McKinsey & Company, CEO at GEM One and worked for Belgian Defence.
Daniel Pope
(Co-Founder & CTO)Previously Director of Architecture and Integration EMEA at Ingram Micro Cloud and Principal Solution Architect at Odin. Was also Senior Solution Architect at Parallels and was a CEO and CTO at Datahouse Internet.
Pol Valls Soler
(Co-Founder & CFO)Previously CPO at FXStreet, Workshop Professor and Key Account Manager at La Salle Technova Barcelona and was Co-Founder at Joiner.
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