Machine Learning Engineer at Anduril Industries

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 27

Salary

80000.0

Posted On

07 Oct, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

Sydney, New South Wales, Australia

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

At Anduril Australia we are developing un-crewed maritime and air domain systems that leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program, require a Senior Machine Learning Engineer with deep experience developing, testing, validating and deploying machine-learning based sensor processing and the technical toolchains they rely on. The Senior Machine Learning Engineer strives to leverage their experience to rapidly architect, design, deliver, support, and evolve next generation autonomous vehicles through the entire product life-cycle.

WHAT YOU'LL DO

Lead the design, development, integration and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities
Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training
Manage model selection, training, validation, evaluation, deployment and regression testing
Manage training data sourcing and integration, and quality
Develop tools and processes for machine learning in a classified environment
Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing

REQUIRED QUALIFICATIONS

Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
Experience in a senior role with the delivery of a production grade software system with a mature machine learning component
Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring
Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies
Experience with the delivery of computer vision capabilities, from the data side as well as the model side
Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

Experience with the delivery of capability with a public sector customer
Experience with workflow management tools such as flyte, airflow, and kubeflow
Experience with deep learning frameworks such as PyTorch
Experience with edge ML applications
Experience with inference engines such as TensorRT
Experience writing C++, Go, Python or Rust
Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results
Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Responsibilities

Sydney, New South Wales, Australia

WHAT YOU'LL DO

Lead the design, development, integration and support of machine learning models for perception and data pipelines for a variety of autonomous systems across multiple sensor modalities
Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training
Manage model selection, training, validation, evaluation, deployment and regression testing
Manage training data sourcing and integration, and quality
Develop tools and processes for machine learning in a classified environment
Collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing

REQUIRED QUALIFICATIONS

Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
Experience in a senior role with the delivery of a production grade software system with a mature machine learning component
Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, data curation, pipeline management, continuous integration, model versioning, and monitoring
Ability to collaborate with data scientists and stakeholders to define and implement robust validation and verification strategies
Experience with the delivery of computer vision capabilities, from the data side as well as the model side
Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
Eligible to obtain and maintain an Australian Government Negative Vetting 2 security clearance (NV2)

PREFERRED QUALIFICATIONS

Experience with the delivery of capability with a public sector customer
Experience with workflow management tools such as flyte, airflow, and kubeflow
Experience with deep learning frameworks such as PyTorch
Experience with edge ML applications
Experience with inference engines such as TensorRT
Experience writing C++, Go, Python or Rust
Proficiency in data management and traceability techniques to maintain high-quality datasets and enable reproducibility of experiments and results
Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery

Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!