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!

Who We Are

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

What You’ll Do

We’re building out our Data Reliability & Quality Engineering function in Sydney, the Site Reliability Engineering (SRE) arm of our global data platform.

This team ensures that data is reliable, accurate and available when it’s needed. You’ll sit at the intersection of data engineering, operations and market data, monitoring critical pipelines, improving system resilience and building automation to detect and prevent issues before they impact trading or research.

You’ll play a key role in shaping how we ingest and deliver trusted, high-quality data at scale, supporting a growing, data-driven global business. In this role, you will:

• Monitor and optimize the performance and stability of data pipelines to meet SLAs.

• Design and maintain data quality tests for accuracy, consistency and completeness.

• Investigate data incidents, perform root-cause analysis and implement preventive measures.

• Apply SRE principles to enhance reliability, alerting and recovery mechanisms.

• Develop automation and tooling to reduce manual intervention and improve scalability.

• Collaborate with data engineers, researchers and market data teams to align reliability goals with business priorities.

Who You Are

• 2+ years of experience in data engineering, site reliability engineering (SRE) or data operations.

• Proficient in SQL, ETL processes and at least one programming language (Python, Scala or C++).

• Strong focus on automation, system resilience and continuous improvement.

• Passionate about data quality, observability and performance optimization.

• Structured and methodical in problem-solving, with strong debugging skills.

• Excellent communication skills and a collaborative, proactive mindset.

Nice to have:

• Experience with Databricks, data observability platforms or distributed/cloud-based data systems.

• Familiarity with alerting and monitoring tools (e.g. Grafana, Prometheus, Airflow or similar).

• Exposure to financial data pipelines or low-latency trading environments.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

If you’re passionate about supporting reliable, high-performance data systems and want your work to directly impact trading outcomes, we’d love to hear from you.

Apply now and help us build the next evolution of Optiver’s global data platform.

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

Who We Are

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products. Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan and Japan exchanges, and act as Optiver’s APAC head office. 

What You’ll Do

We’re building out our Data Reliability & Quality Engineering function in Sydney, the Site Reliability Engineering (SRE) arm of our global data platform.

This team ensures that data is reliable, accurate and available when it’s needed. You’ll sit at the intersection of data engineering, operations and market data, monitoring critical pipelines, improving system resilience and building automation to detect and prevent issues before they impact trading or research.

You’ll play a key role in shaping how we ingest and deliver trusted, high-quality data at scale, supporting a growing, data-driven global business. In this role, you will:

• Monitor and optimize the performance and stability of data pipelines to meet SLAs.

• Design and maintain data quality tests for accuracy, consistency and completeness.

• Investigate data incidents, perform root-cause analysis and implement preventive measures.

• Apply SRE principles to enhance reliability, alerting and recovery mechanisms.

• Develop automation and tooling to reduce manual intervention and improve scalability.

• Collaborate with data engineers, researchers and market data teams to align reliability goals with business priorities.

Who You Are

• 2+ years of experience in data engineering, site reliability engineering (SRE) or data operations.

• Proficient in SQL, ETL processes and at least one programming language (Python, Scala or C++).

• Strong focus on automation, system resilience and continuous improvement.

• Passionate about data quality, observability and performance optimization.

• Structured and methodical in problem-solving, with strong debugging skills.

• Excellent communication skills and a collaborative, proactive mindset.

Nice to have:

• Experience with Databricks, data observability platforms or distributed/cloud-based data systems.

• Familiarity with alerting and monitoring tools (e.g. Grafana, Prometheus, Airflow or similar).

• Exposure to financial data pipelines or low-latency trading environments.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment.

• The chance to work alongside diverse and intelligent peers in a rewarding environment.

• Training, mentorship and personal development opportunities.

• Daily breakfast, lunch and an in-house barista.

• Gym membership plus weekly in-house chair massages.

• Regular social events, including a company trip every two years.

• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

If you’re passionate about supporting reliable, high-performance data systems and want your work to directly impact trading outcomes, we’d love to hear from you.

Apply now and help us build the next evolution of Optiver’s global data platform.

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Questions? Get in touch with the recruitment team at careers@optiver.com.au

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

• Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
• Implement automated quality scoring and de-duplication systems.
• Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

• Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
• Deep knowledge of prompt engineering for data generation.
• Familiarity with dataset distillation and bias mitigation.

Riot's Data Engineers build products that improve the experience of our players worldwide using petabytes of data and state-of-the-art processing technology. Maximizing the potential of this data is a complex task. 

As a Senior Data Engineer (Contract) joining the Sydney-based team, you will lead the modernization and uplift of our data platform to improve reliability, governance, and scalability. You will drive architectural refactoring across our lakehouse environment, consolidate and standardize data models, and enforce a clear Bronze/Silver/Gold medallion hierarchy. You will implement robust data quality and observability frameworks for business-critical datasets, operationalize data ownership and tiering standards, and elevate metadata completeness and lineage transparency across our data catalog and warehouse ecosystem. Working closely with cross-functional stakeholders, you will help transform the data environment into a trusted, production-grade platform that supports operational decision-making, executive reporting, and advanced analytics. 

This role is based in Sydney and a 12-month contract.

Responsibilities:

• Partner with senior engineers to execute architectural improvements across the lakehouse platform.
• Implement dimensional data models and standardize semantic/gold reporting layers.
• Enforce medallion (Bronze/Silver/Gold) architecture standards.
• Build and integrate automated data quality monitoring.
• Improve metadata completeness and lineage transparency through catalog updates and automation.
• Contribute to CI/CD standards and pipeline reliability improvements.
• Collaborate with cross-functional stakeholders to deliver production-grade, trusted datasets.

Required Qualifications: 

• 5+ years of relevant experience building scalable data platforms in production environments.
• Strong experience in data modeling and data warehousing, e.g. medallion lakehouse architecture.
• Strong hands-on expertise with Databricks, Spark (PySpark/SparkSQL), Delta Lake, Airflow, and Python.
• Experience implementing automated data quality checks and validation frameworks.
• Experience with dbt or similar transformation frameworks.
• Experience delivering on AWS-based data platforms.
• Familiarity with metadata/catalog tools (Atlan, Alation, DataHub, Unity Catalog, etc.).

Desired Qualifications:

• Fluency in Mandarin Chinese is highly desirable.
• Experience contributing to data platform modernization or data maturity uplift initiatives.
• Experience working across cross-regional engineering teams.
• Experience improving metadata automation or lineage tooling.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.