Publié il y a 7 mois
ML Engineer
@ Human Computer Lab
Toronto, Ontario
En bref
Human Computer Lab is hiring a full-time ML Engineer to build the multimodal models (vision, language, action) that give its LeLamp robot perception and natural behavior. The work spans early research through deployment on real hardware, with close collaboration with the research and mechanical teams. The posting asks for 3+ years of ML experience in robotics, controls or perception.
Responsabilités :
- Build multimodal ML models for vision, audio and interaction
- Design training and deployment pipelines for ML models
- Integrate ML systems with robotic hardware and embedded systems
- Improve robot perception, responsiveness and behavior
- Collaborate with robotics engineers on integrated controls
Résumé des exigences :
- 3+ years of ML for robotics, controls or perception
- Strong Python and/or C++ programming
- Experience with PyTorch
- Experience in computer vision, robotics, RL or multimodal AI
- Experience with simulators such as Isaac Sim or MuJoCo (preferred)
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-04-02
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Laboratoire, Bureau |
| Position | Assis et debout |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Human Computer Lab
Profil d’entreprise sauvegardé
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- Personnes associées sur LinkedIn
- 3
- Autres noms enregistrés
- Human Computer Lab
| Champ | Valeur |
|---|---|
| Secteur | Research Services |
| Offres sur Jobsy | 11 |
| Voir la page |
Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.
Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.
What to expect
This role is for a machine learning engineer who wants to work on the models that give LeLamp its intelligence – the systems that let the robot perceive its environment, understand what's happening around it, and respond in ways that feel natural and intentional. You'll be developing and advancing the multimodal model architectures at the core of our robot, spanning vision, language, and action, and owning that work from early research through to deployment on real hardware. This is not a role where you train models in isolation and hand them off. You'll see your work running in the robot, shaping how it behaves in the world. You'll work closely with the research and mechanical team at the frontier of embodied AI, where the problems are genuinely open and the decisions you make directly shape what the robot can do.
In this role, you will:
Develop software systems for robotic platforms that power robot perception, intelligence, and behavior
Write maintainable, production quality code for research and deployment
Build multi-modal machine learning models for tasks such as computer vision, audio processing, and interaction understanding
Design and implement pipelines for training and deploying machine learning models
Integrate ML systems with robotic hardware and embedded systems
Improve robot perception, responsiveness, and behavioral intelligence
Collaborate with robotics engineers to build integrated robotic controls and architectures
You may be a good fit, if you:
3+ years (or equivalent) working on machine learning for robotics, controls, or perception
Have strong programming skills in Python and/or C++ and understanding of algorithms and software engineering fundamentals.
Have experience with machine learning frameworks such as PyTorch
Have experience in one or more of the following areas: computer vision, robotics, reinforcement learning, or multimodal AI
Have experience building and deploying machine learning systems preferably in Simulations (Issac Sim, MJLab, Mujoco, etc.)
Show intentionality in design decisons and feel ownership over outcomes, even for systems you don't own.
Think holistically about the entire system and approach complex problems with creative, outside-the-box solutions.
You will be a strong fit, if you:
Absolutely love and are passionate about building intelligent physical systems.
Move quickly and can do rapid iteration cycles. Share work early and iterate.
Take ownership over the systems they design and build, and are curious, resourceful, and motivated to solve difficult problems.
Work well in small, collaborative teams.
Consider not just what immediately works, but how the consumer will engage with the robot.
The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.
We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.
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