Job Closed

This listing is no longer active.

Canva logo
Canva

Design anything. Publish anywhere.

Senior Machine Learning Engineer – Inspire & Create

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2013H1B SponsorCompany SiteLinkedIn

Location

Australia

Posted

83 days ago

Salary

0

Seniority

Senior

Bachelor DegreeEnglishPythonPyTorchTensorFlow

Job Description

Senior Machine Learning Engineer – Inspire & Create

Canva

• Building, testing, and shipping ML-powered features that enhance our ad generation experiences • Designing scalable ML pipelines in collaboration with our platform teams • Working closely with PMs, designers and engineers to align on user needs and product direction • Running experiments to validate assumptions and improve model effectiveness • Contributing to shared ML infrastructure and best practices at Canva • Keeping up with state-of-the-art developments and exploring ways to apply them at scale

Job Requirements

  • You’re a highly skilled machine learning engineer with a proven track record of delivering ML-powered product features in production.
  • You bring deep technical expertise across the ML lifecycle - from data wrangling and model development to evaluation, deployment, and monitoring.
  • You’re comfortable operating independently while collaborating deeply with cross-functional teams, and you’re motivated by user impact and product outcomes.
  • You have demonstrated experience building and deploying ML-powered features in production environments.
  • You have proficiency with Python and frameworks like TensorFlow or PyTorch.
  • You are skilled across the ML lifecycle: data processing, model training, evaluation, deployment, and monitoring.
  • You have proven ability to work independently while collaborating cross-functionally with product, design, and data.
  • You have experience with Generative AI (GenAI): LLMs, diffusion models, prompt engineering, RAG, or fine-tuning.
  • You have familiarity with GenAI platforms (e.g. OpenAI, Hugging Face, Anthropic) and embedding-based systems.
  • You have a strong product mindset - prioritises ML solutions that improve user experience and product outcomes.
  • You are committed to scalable, maintainable ML systems with clear metrics and impact tracking.
  • You are passionate about ethical ML and responsible data usage, especially in learning environments.
  • You enjoy mentoring and sharing best practices within the team.

Benefits

  • Equity packages - we want our success to be yours too
  • Inclusive parental leave policy that supports all parents & carers
  • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
  • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Related Job Pages

More Machine Learning Engineer Jobs

Ministère de l'Économie - Luxembourg logo

Machine Learning in Production – Master's Thesis

Ministère de l'Économie - Luxembourg

Official page of the Ministry of the Economy - Luxembourg, lead by Lex Delles

Part TimeRemoteTeam 201-500H1B No Sponsor

• Independent literature research of academic texts and synthesis of findings • Identification of Machine Learning use cases in production environments • Conducting case studies and expert interviews • Documenting the use cases with use case diagrams

Germany
Part TimeRemoteTeam 201-500H1B No Sponsor

• Literature and market research on current trends and technologies in MLOps and their application in maintenance • Analysis of specific maintenance requirements for AI/ML models and their operation • Development of a tailored MLOps approach that facilitates the integration of AI/ML into maintenance • Derivation of practical recommendations and preparation of practice-oriented documentation

Mali
Applaudo logo

Machine Learning Engineer

Applaudo

Nearshore Software Development Solutions

Full TimeRemoteTeam 501-1,000Since 2013H1B No Sponsor

• Design, build, and maintain training and inference pipelines for traditional ML and LLM-based systems • Develop predictive models using regression, time-series, and probabilistic techniques • Build and refine confidence scoring systems to ensure model reliability • Integrate LLMs (OpenAI, HuggingFace) across products using APIs, LangChain, fine-tuning, and RAG pipelines • Conduct bias, drift, error, and fairness analysis to maintain model transparency and robustness • Implement and manage vector databases to support retrieval-augmented generation pipelines • Collaborate closely with engineering and product teams to bring ML-powered features into production environments • Apply MLOps principles: model monitoring, retraining workflows, versioning, and CI/CD for ML • Provide mentorship to team members and contribute to shaping the company’s AI/ML engineering standards • Stay current with industry advances and proactively recommend emerging tools, frameworks, and best practices

Brazil
Job Closed

Lead MLOps Engineer – Azure

Logic20/20, Inc.

Working toward a better tomorrow for our clients, our employees, and our communities.

Full TimeRemoteTeam 201-500Since 2005H1B No Sponsor

• Lead conceptual designs and create frameworks to predict a variety of outcomes in different scenarios • Build, deploy, and optimize machine learning models • Collaborate with other data scientists and stakeholders on projects • Develop solutions in Python • Develop production-grade solutions • Work in Hadoop, Redshift, and Spark • Translate business and product questions into analytics projects • Communicate clearly over written and oral channels

Washington
$140.5K - $158.3K / year
Job Closed