Machine Learning Engineer
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- Build and ship production distributed ML training infrastructure projects
- Masters or PhD in ML, CS, or related field (current or recent)
- Python, PyTorch, distributed ML, multiprocessing, async I/O, AWS/GCP
Research Engineer - Geo-Distributed Inference
- Build and own end-to-end inference stack for decentralized LLM serving
- Shipped serving systems or built large-scale inference systems
- Distributed inference, pipeline parallelism, low-bandwidth networking
Research Engineer - Decentralized Training and Inference Verification
- Verify decentralized ML training and inference work across distributed GPUs
- Experience building and shipping verification systems with stated error rates
- Statistics, probability, ML security, adversarial threat modeling
Research Engineer - Pre-training
- Build distributed training systems for frontier-scale decentralized models
- Experience training models across many devices with FSDP, DeepSpeed, Megatron
- PyTorch, distributed training, model parallelism, fault tolerance
Join a fantastic team within a challenging environment, having access to cutting edge technology and continue career development and growth.
REMOTE ROLES AUSTRALIA WIDE
HIGH PERFORMING MACHINE LEARNING TEAM
BOTH PERMANENT & CONTRACT ROLES AVAILABLE
Full Job Description
Our client is an exciting Australasia market leader. Due to the ongoing success of the team brand new positions have been created for Mid & Senior Machine Learning Engineers to join their team.
ROLE
Machine Learning and ML Ops best practice on terabytes of data. Working as part of the ML Development team and closely collaborating with Data Scientists. Be prepared to build Cloud based cutting edge ML platforms, pipelines and experiment with Big Data and ML tech available on the market.
RESPONSIBILITIES
Your responsibilities as a Senior Machine Learning Engineer will include:
Design and implementation of Big Data and Machine Learning platforms, pipelines and tooling
Pioneering new tech and approaches to improve time to market, reliability and performance of Data Science products
Stakeholder management across different disciplines
SKILLS
The skills and experience you need for this Senior Machine Learning Engineer role:
Solid Data Engineering foundations
Hands-on exposure with Kubernetes (Argo/Kubeflow)
Experience in building and running Docker images
Cloud (GCP/AWS/Azure) commercial experience
Good ML Ops, SRE or DevOps experience
Hands-on with Linux
Practical experience with ML algorithms, techniques and packages
BENEFITS
Offering unparalleled opportunities for career development and growth.
SALARY
Up to $950 incl super
HOW TO APPLY
Please click on the 'Apply' button below or email your resume to shay@correlateresources.com