Senior Machine Learning Engineer (Computer Vision) at Andromeda Robotics

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Computer Vision, Emotion Recognition, Person Identification, Scene Understanding, Python, Deep Learning, MLOps, Real-Time Processing, Edge Deployment, Cloud Infrastructure, Software Engineering, Model Monitoring, Technical Leadership, Collaboration, Continuous Learning

Industry

Computer Hardware Manufacturing

Description

The Bigger Picture At Andromeda Robotics, we’re not just imagining the future of human-robot relationships; we’re building it. Abi is the first emotionally intelligent humanoid companion robot, designed to bring care, conversation, and joy to the people who need it most. Backed by tier-1 investors and with customers already deploying Abi across aged care and healthcare, we’re scaling fast, and we’re doing it with an engineering-first culture that’s obsessed with pushing the limits of what’s possible. This is a rare moment to join: we’re post-technical validation, pre-ubiquity, and building out the team that will take Abi from early access to global scale. Our Values Empathy - Kindness and compassion are at the heart of everything we do. Play - Play sharpens focus. It keeps us curious, fast and obsessed with the craft. Never Settle- A relentless ambition, bias toward action, and uncomfortable levels of curiosity. Tenacity - Tenacious under pressure, we assume chaos and stay in motion to adapt and progress. Unity- Different minds. Shared mission. No passengers. The Role As a Senior Machine Learning Engineer focused on Computer Vision (CV), you'll build production CV systems that enable our robots to understand and respond to human behaviour. You'll develop capabilities for person identification, emotion recognition, and scene understanding that make interactions feel natural and empathetic. You'll work across the full stack: from model development to deployment on edge devices and cloud infrastructure, integration with our conversational AI system, to monitoring, observability and continuous improvement. You’ll help establish our CV practices. We follow a rapid iteration approach: leverage open source foundations, extend with novel research, and build proprietary breakthroughs. You'll have significant autonomy to shape our computer vision capabilities and help define our ML culture as we build the team from the ground up. This role focuses on production engineering. If you're primarily interested in novel algorithm development, please see our separate Applied Research role. Your first year: Months 0-6: Onboard and mature existing computer vision features, collecting data, optimising performance, improve testing and observability Months 6-12: Productionise and deploy new CV capabilities to enhance how Abi perceives and responds to users Months 12+: Contribute to the feature roadmap, architect new perception systems, establish robust product feedback loops with cross-functional teams Responsibilities Architect and deploy computer vision systems for human understanding (person identification, emotion recognition, scene understanding) Build production pipelines for real-time visual perception on hybrid edge/cloud architecture Develop robust inference systems optimised for edge deployment (NVIDIA Jetson) and cloud processing Integrate computer vision outputs with conversational AI and other robot systems Design and implement testing infrastructure, simulation environments, and observability tools for CV systems Collaborate with teams to productionise computer vision prototypes for real-world deployment Establish Machine Learning (MLOps) practices, monitoring, and continuous improvement processes for CV models in production Work closely with product, engineering, robotics, and customer success teams to understand user needs and build product feedback loops Mentor team members and set technical standards for computer vision engineering Drive technical decision-making for ambiguous, high-impact problems in human perception Write clean, maintainable and well-documented code About You You're excited about applying computer vision to robotics and human-robot interaction, particularly creating meaningful experiences for elderly users You've architected and shipped production computer vision systems at scale You've been at the sharp end of hard technical problems in CV - whether it's real-time perception, edge deployment, or challenging lighting/environmental conditions You thrive in 0-to-1 environments where you're building the playbook You've been through multiple product cycles and understand what it takes to ship CV systems to real users Committed to continuous learning and staying current with best practices in computer vision and deep learning Able to work both autonomously and collaboratively with excellent communication skills You have strong technical leadership skills and enjoy mentoring engineers Requirements Bachelor's, Master's or PhD in Computer Science, Robotics, Computer Vision, Engineering, or related field 5+ years of professional experience building production computer vision systems Deep expertise in computer vision for human understanding (person identification, emotion recognition, scene understanding) Strong fundamentals in computer vision, deep learning, and mathematics (linear algebra, probability, optimisation) Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience deploying CV models to production with real-time video processing and inference optimisation Proven track record architecting and shipping complex ML systems end-to-end Strong software engineering practices (testing, version control, code review, documentation) Experience with MLOps, model monitoring, and production debugging Demonstrated ability to take ownership of ambiguous problems and drive them to completion Melbourne-based role requiring five days on-site Preferred Experience Edge ML deployment experience (NVIDIA Jetson) AWS cloud infrastructure for testing computer vision pipelines Experience with multimodal systems (combining vision with conversational AI or other modalities) Video understanding, temporal modelling, or action recognition 3D computer vision, depth sensing, or sensor fusion Human-centred computer vision in challenging real-world conditions (varying lighting, occlusions, diverse user populations) Experience in high-reliability environments (consumer robotics, automotive, healthcare, assistive technology) Working in early-stage or fast-scaling environments Experience building CV systems for elderly or accessibility applications The salary for this position may vary depending on factors such as job-related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made. If you’re excited about this role but don’t meet every requirement, that’s okay—we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let’s build the future together. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please note: At this time, we are generally not offering visa sponsorship for this role.

Responsibilities

The Senior Machine Learning Engineer will architect and deploy computer vision systems for human understanding, focusing on person identification, emotion recognition, and scene understanding. They will also build production pipelines for real-time visual perception and integrate outputs with conversational AI systems.