Remotery

Senior Machine Learning Engineer – VSP Authoring & Distribution

Posted 3 days ago

This is a fully remote position, open to applicants in Australia.

📋 Description

• Serve as a solution authority across various ML domains, including evaluations, training, inference, data pipelines, quality assurance, and optimization.

• Collaborate closely with product teams as a reliable partner, assisting them in overcoming technical obstacles and finding effective solutions.

• Offer expert insights on platform capabilities, aiding teams in understanding the possibilities and how to achieve them efficiently.

• Create blueprints, patterns, and paved roads that enable other teams to adopt proven methods and expedite their implementations.

• Diagnose and resolve complex issues, uncovering root causes and disseminating insights broadly.

• Balance hands-on problem-solving with strategic considerations on how to scale enablement impact throughout the organization.


⛳️ Requirements

• Proven expertise in Python with experience in ML frameworks.

• Commercial experience with Kubernetes (K8s).

• Experience or knowledge in constructing data pipelines.

• Experience or familiarity with model evaluations.

• Experience with inference optimization and serving infrastructure.

• Experience supporting or closely collaborating with research, data science, or product teams.

• Exceptional debugging and problem-solving abilities across the complete ML stack.

• Capability to effectively switch contexts among multiple concurrent projects.

• Strong communication skills, with the ability to clarify complex technical concepts to diverse audiences.

• A collaborative mindset focused on empowering others to achieve success.

• Basic knowledge of Java (not assessed during interviews).


🏝️ Benefits

• Equity packages - we want our success to be yours as well.

• An inclusive parental leave policy that supports all parents and caregivers.

• An annual Vibe & Thrive allowance to promote your wellbeing, social connections, office setup, and more.

• Flexible leave options that empower you to make a positive impact, take time to recharge, and support your personal needs.

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