Kablio AI
AI Turbo Recruiter
Want to hear how I work? Hit play.Kablio AI applies for you. You just show up to the interviewKablio AI helps you secure roles in construction, clean energy, facilities management, engineering, architecture, sustainability, environment and other physical world sectors.
Get hired, get rewarded!
Land a job through Kablio and earn a 5% salary bonus.
Exclusive benefits
5%Bonus
Machine Learning Engineer
sitemate
End‑to‑end ML engineer building, training, deploying models for AI product features.
8d ago
A$115,000 - A$200,000
Intermediate (4-7 years), Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
Sydney, New South Wales, Australia
Onsite
Company Size
1500+ globally Employees
Service Specialisms
serviceSpecialismFormat1
serviceSpecialismFormat2
Sector Specialisms
sectorSpecialismFormat1
sectorSpecialismFormat2
Role
What you would be doing
ai integration
ai architecture
data pipelines
model deployment
experimentation
api integration
- Navigating emerging AI technologies: Working with rapidly evolving models, APIs, and frameworks where best practices aren’t always established yet.
- Collaborate with product managers, designers, and engineers to integrate AI into user-facing features.
- Sitemate builds best in class software products for the built world.
- Building in a new domain for the company: Helping define technical foundations, architecture, and standards for AI products in an area where the company doesn’t yet have deep prior experience.
- Balancing experimentation with reliability: Exploring innovative AI capabilities while still delivering production-ready software that users can trust.
- Finding creative solutions for data augmentation when working with limited labeled training data.
- Participate in code reviews and technical discussions, sharing knowledge and shaping engineering standards.
- Build and maintain data pipelines to ensure clean, reliable, and scalable training datasets.
- Managing cost and latency trade-offs when scaling AI features.
- Conduct experiments to evaluate new features, algorithms, architectures, or approaches.
- Design and ship agentic flows using core product agents and use-case orchestration.
- Deploy, monitor, and continuously improve model performance, accuracy and costs.
- Evaluate and integrate third-party AI services and APIs to accelerate development.
- Document workflows, share insights, and contribute to best practices in applied machine learning.
What you bring
python
typescript
git
aws
openai
2+ years
- Understanding of ML fundamentals (training/validation/test splits, overfitting, metrics like precision/recall).
- Enjoys working with emerging technologies (specifically AI) and thrives in areas where the playbook is still being written.
- Cares deeply about creating best-in-class user experiences, not just backend logic.
- Access to latest AI tools and platforms.
- Version Control: Git, experience with LFS for large files.
- Hands-on experience with structured data extraction from unstructured sources.
- Someone who can work independently with minimal ML infrastructure in place.
- Experience building real-time voice features: speech recognition, conversational flow.
- Strong Python for ML and working knowledge of TypeScript.
- Comfortable being the go-to ML expert and educating the broader engineering team.
- Initial projects will focus on intelligent document processing and conversational AI interfaces.
- Experience with model quantization and optimization techniques.
- Languages: Python (focus on relevant ML libraries), TypeScript/Node.js.
- 2+ years shipping production ML/AI features.
- Data privacy & security for AI workloads (PII handling, auditability, least-privilege IAM).
- Monitoring/observability: Any ML monitoring tools and observability platform
- Own full AI generation pipelines: data prep/labeling, model selection and fine-tuning, guarded generation.
- AI/ML Platforms: OpenAI API, AWS Bedrock.
- Experience with LLMs (fine-tuning, prompt engineering, evaluation).
- If you want to focus only on backend or only on frontend work, without touching the full stack.
- Experience with vector databases and RAG implementation.
- Built agentic systems (e.g., LangGraph, Bedrock Agents/AgentCore, OpenAI Agents SDK) and/or MCP servers.
- Enjoys fast-paced work, getting stuff done, and running experiments that have high impact.
- Knowledge of prompt chaining and few-shot learning techniques.
- AWS cloud experience.
- Someone who’s uncomfortable with ambiguity, rapid iteration, or shaping new product directions from the ground up.
- First ML hire with significant influence on technical direction.
- Modern CI/CD: Github actions, AWS CDK.
- Remuneration (including Super): AUD $115,000 - $200,000
- You will get additional benefits and support as parents - with paid leave for both primary (min. 16 weeks) and secondary carers (min. 6 weeks) including adoption, as well as support and leave for the tragic circumstances of stillbirth or miscarriage.
- Flexible hybrid work arrangements.
- You will get a laptop and a budget to set up your home office.
- 2023 Podcast: Listen to CMO Lance Hodgson’s tips on how to supercharge your career
- You will have visibility into the standardised career development plan for your role, and access to a professional learning and development budget.
- Our office has fantastic on-site facilities including a rooftop garden, wellness centre, showers and cycle storage. The transport connections are excellent. Every Monday, the team enjoys a catered lunch together from one of the many nearby options.
- We place an extremely high value on your time - you won’t be spending your days wasting time on fighting internal systems, botched together spreadsheet processes or doing data entry.
- Direct mentorship from engineering leadership.
- G2 Crowd
- You will have a core and close team around you, but you will also be exposed to and working directly with multiple departments - engineering, product, design, marketing, sales and customer success.
- Sitemate has grown from 5 employees in 2018 to 150+, and we’re moving into the next stage of growth! We have a product that customers are strongly engaged with, and every month we get 1000s of new leads in our core/target regions with 0 cold calling and limited marketing spend (made possible by strong word-of-mouth and organic marketing efforts).
- Opportunity to shape AI strategy.
- You will have 20 days PTO, as well as paid compassionate & bereavement leave, sick & carer’s leave, and the ability to work from anywhere for a few weeks per year.
- You will get equity options and ownership in Sitemate on a standard vesting schedule. See here for a general overview of how this works.
- You will be remunerated based on your performance. If you are performing well, you won’t need to wait 3 years or have to find better offers elsewhere to receive an increase to your remuneration. 7 out of the last 10 remuneration increases for Sitemate team members have been made pro-actively by management, without the individual needing to even raise the topic of remuneration.
- Budget continuous learning.
- You will have a high degree of autonomy, as the focus is on outcomes and not hours. If you want to block off a few hours to run a personal errand or block off an hour to pick up the kids from school - no worries. No one will be monitoring your time.
- We are constantly working to minimise the number of group meetings - daily check ins are all done asynchronously (in your own time) each morning. But spontaneous 1:1s or small sessions are strongly encouraged!
- We are very transparent - monthly Allhands meetings provide the team with direct insight into team updates, customer stories, hiring plans and key metrics (NPS, Revenue, Financial Performance). During this Allhands meeting we also hear one ‘life story’ from one of our team each month - learning about different countries and cultures around the world.
Information not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearanceInformation not given or found
People also searched
Company
Overview
Nope
Culture + Values- Bring your expertise in software development
- Bring your creativity and problem-solving skills
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam tortor lacus, ultrices eu purus sit amet, ullamcorper maximus lacus. Suspendisse in iaculis massa, in ullamcorper quam. Interdum et amet.
- Bring your expertise in software development
- Bring your creativity and problem-solving skills
- Bring your expertise in software development
- Bring your creativity and problem-solving skills
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam tortor lacus, ultrices eu purus sit amet, ullamcorper maximus lacus. Suspendisse in iaculis massa, in ullamcorper quam. Interdum et amet.
- Bring your expertise in software development
- Bring your creativity and problem-solving skills
Articles
Kablio AIIf you're someone who helps build and power the world (or dreams to), Kablio AI is your pocket-sized recruiter that gets you hired.
Copyright © 2025 Kablio