Senior AI/Computer Vision Engineer
ubiquiti Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at ubiquiti. Riga.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Take computer vision projects from technical scoping through model development and production release
- Turn product needs into data, system, model and evaluation plans, including collection and annotation approaches
- Train and tune models for vision and multimodal tasks, then build benchmarks and failure-analysis workflows
- Adapt models for edge limits such as latency, memory, throughput and accuracy, and connect them to C++ inference pipelines
- Coordinate with software and product teams to deliver reliable AI features
What you bring
- At least four years building and shipping computer vision or applied AI systems
- A graduate degree in computer science, electrical engineering or a related area, or equivalent practical experience
- Strong Python and software engineering skills, with production C++ pipeline or inference-system experience
- Hands-on use of PyTorch, TensorFlow or a comparable framework, plus experience evaluating, deploying and supporting models
- Fluency in both English and Latvian, and experience optimizing models for edge or embedded systems
Who this fits
This is a hands-on senior engineering role for someone who can carry applied AI work from concept through production and edge deployment. The role is based in Riga, with a hybrid office arrangement and flexible work hours.
From the employer
About Ubiquiti
At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity.
We’re looking for a Senior AI/Computer Vision Engineer to build AI systems end to end, from defining the problem and data requirements to training models, validating them, deploying on edge devices, and integrating them into C++ pipelines.
This is a hands-on engineering role for someone who can take applied AI projects from concept to production and is comfortable working across modeling, evaluation, deployment, and system integration.
Responsibilities:
- Own AI and computer vision projects end to end, from technical definition to production deployment;
- Translate product needs into system, data, model, and evaluation requirements;
- Define data collection, annotation, and validation strategies;
- Train and optimize deep learning models for real-world vision and multimodal applications;
- Build testing, benchmarking, and failure analysis workflows;
- Optimize models for edge devices with attention to latency, memory, throughput, and accuracy tradeoffs;
- Integrate models into production inference systems, including C++ edge pipelines;
- Work closely with software and product teams to ship reliable AI features at scale.
Requirements:
- MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience;
- Strong Python skills;
- Solid experience with PyTorch, TensorFlow, or similar frameworks;
- 4+ years of experience building and shipping computer vision and/or applied AI systems;
- Hands-on experience with tasks such as detection, classification, segmentation, tracking, embeddings, or multimodal perception;
- Experience beyond model training, including evaluation, deployment, and production support;
- Experience optimizing models for edge or embedded environments;
- Strong software engineering skills, including C++ production pipelines or inference systems;
- Fluent in English and Latvian.
Nice to have:
- Experience with LLMs or multimodal models in production;
- Experience with ONNX, TensorRT, OpenVINO, or TFLite;
- Experience with MLOps and experiment tools such as MLflow, Weights & Biases, or DVC;
- Familiarity with model monitoring and post-deployment analysis.
Benefits:
- International work environment and work with global development teams;
- Ability to deliver software that is used by millions of people across the globe;
- Opportunity to leverage and integrate modern AI tools into product development;
- Access to all Ubiquiti products;
- Medical insurance;
- Hybrid approach - office in Riga;
- Flexible work hours;
- Compensation package matching global standards, including competitive salary depending on your qualification and background (starting from 5000 up to 8000 Euro gross monthly);
- A-class office with all the necessities - snacks, drinks, free parking, etc!