Andromeda Logo

Andromeda

Senior Machine Learning Engineer (Applied Research)

Posted 14 Days Ago
Be an Early Applicant
In-Office
Melbourne, Victoria
Senior level
In-Office
Melbourne, Victoria
Senior level
As a Senior Machine Learning Engineer, you'll conduct applied research to enhance human-robot interaction, define research roadmaps, build ML experiments, and collaborate with teams on product integration.
The summary above was generated by AI

Andromeda builds personalised robot companions. We are pioneering the future of human-robot interaction where no playbook exists. We are backed by investors including San Francisco-based Forerunner Ventures, Rethink Impact and Main Sequence Ventures. We're working towards robots that feel genuinely alive, think Disney-level emotional connection. We have real customers, real end-users and have the runway to investigate and demonstrate technical breakthroughs. 

As a Senior Machine Learning (ML) Engineer in Applied Research, you'll work at the intersection of machine learning, human-robot interaction, animation, and health. You'll be a founding member of the ML team with a primary focus on applied research - we have dedicated teams for robotics engineering, software development, and developer velocity to support the production side.  You'll have significant autonomy to shape your focus areas. You'll help build our ML applied research culture, practices, and infrastructure.

We're looking for engineers who thrive in ambiguous, high-impact environments where your decisions shape the company's technical direction. You'll own a large part of the applied research roadmap. Andromeda's ML research agenda spans real-time conversational AI, biometric user recognition, emotional and social awareness, and expressive gesture generation. You'll drive a specific research stream while collaborating with future team members who'll tackle the others.

We follow a rapid iteration approach: leverage open source foundations, extend with novel research, and build proprietary breakthroughs.


Requirements

Responsibilities

  • Define and execute 6-12 month roadmaps for your applied research streams that contribute to product improvements
  • Build experimentation pipelines to rapidly prototype and test new ideas to characterise their feasibility
  • Collect and curate large datasets ethically and responsibly, and set up data pipelines and baselines
  • Train, debug and test machine learning models
  • Design evaluation frameworks appropriate for experiential outcomes - combining quantitative metrics where possible with qualitative user studies, expert assessments, and iterative product integration
  • Collaborate with product and engineering teams to understand requirements and integration pathways for your research
  • Create test and simulation tooling

About you

  • You're excited about the potential of foundation models and understand how to work with large datasets to create meaningful improvements in human-robot interaction
  • You're a builder who likes to get your hands dirty
  • You excel at applied research, enjoy translating product objectives into real-world outcomes, and collaborate effectively across the ML lifecycle
  • You are practised in designing and executing evaluations against baselines
  • You are inquisitive. You can go deep into datasets, model internals, training methodologies, and debugging. You care about how your users are using your work.
  • Your idea of fun is to read and implement papers, experiment with open source implementations, and ask "what if?"
  • You want to work in and contribute to our culture of knowledge sharing. We encourage conference submissions where intellectual property considerations allow

Requirements

  • 4+ years of machine learning experience in research or production environments
  • Experience working on challenging machine learning problems that solve complex, practical challenges
  • Comprehensive knowledge in machine learning frameworks and libraries
  • Bachelor's, Master's, or Ph.D. in Computer Science, Robotics, or equivalent experience
  • Melbourne-based role requiring five days on-site

Preferred experience

As an emerging field, we value any combination of the following skills:

  • Experience in applied research in an early stage product company or R&D division of a large company
  • Experience with large datasets in conversational AI, computer vision, or robotics domains
  • Multimodal systems combining vision, speech, and text for conversational applications
  • Gesture generation, motion synthesis, or character animation using machine learning
  • Computer vision for human and scene understanding (emotion recognition, spatial reasoning, environmental awareness)
  • Experience training and fine-tuning models (LLMs, vision-language models, or multimodal models preferred) for specialised applications
  • Embodied AI at the intersection of ML and control systems

Top Skills

Computer Vision
Conversational Ai
Large Datasets
Machine Learning
Ml Frameworks
Ml Libraries
Robotics
HQ

Andromeda Melbourne, Victoria, AUS Office

Melbourne, VIC, Australia

Similar Jobs

14 Hours Ago
Remote or Hybrid
Melbourne, Victoria, AUS
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
The Senior Sales Enablement Specialist will train APJ sales teams, localize global programs, support onboarding, and drive sales performance through collaboration and insights.
Top Skills: Crm SystemsGongLms Platforms
14 Hours Ago
In-Office
Melbourne, Victoria, AUS
Senior level
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
As a Senior Software Engineer, you'll drive software solutions for military capabilities, manage stakeholder needs, mentor junior engineers, and handle system delivery.
Top Skills: C++Cloud TechnologiesGoReactSoftware Engineering ConceptsTypescript
14 Hours Ago
Hybrid
2 Locations
Senior level
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software
Lead the design and implementation of quality practices, regression test suites, and CI/CD pipelines while mentoring engineers and collaborating with cross-functional teams.
Top Skills: Apache JmeterApi Contract Testing ToolsGithub ActionsLocustSonar QubeTest Automation Technologies

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account