LambdaWorks, a pioneering technology company situated in the vibrant city of Melbourne, is seeking a passionate and skilled Machine Learning Engineer specializing in low-latency, high-throughput systems. If you thrive in dynamic environments where technology meets creativity, and are eager to lead code reviews and refactoring initiatives, this opportunity may be your next career milestone.
About LambdaWorks
At LambdaWorks, we are committed to pushing the boundaries of machine learning through innovative solutions that redefine what’s possible. Our team comprises industry veterans and emerging talents who collaborate to create state-of-the-art systems designed to optimize performance and efficiency. Join us in our mission to deliver exceptional products that leverage cutting-edge technologies.
Key Responsibilities
- Design and Implement: Architect machine learning models tailored for low-latency and high-throughput applications, ensuring peak performance.
- Lead Code Reviews: Mentor team members by conducting thorough code reviews that enhance code quality, maintainability, and adherence to best practices.
- Refactor Initiatives: Spearhead efforts to refactor existing code bases, optimizing algorithms, and improving overall system efficiency.
- Collaborate Across Teams: Work closely with data scientists, software engineers, and product managers to define requirements and deliver high-quality solutions.
- Performance Testing: Conduct rigorous performance testing and benchmarking to ensure systems meet latency and throughput requirements.
- Documentation: Create and maintain comprehensive technical documentation to support knowledge sharing and onboarding.
Required Qualifications
To be considered for this role, candidates should possess the following qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience in machine learning, particularly in designing and optimizing low-latency and high-throughput systems.
- Strong programming proficiency in Python, Java, or C++, with a solid understanding of algorithms and data structures.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or similar platforms.
- Experience with cloud technologies (AWS, GCP, Azure) and microservices architecture.
- Exceptional problem-solving skills and ability to work collaboratively in a fast-paced environment.
Preferred Skills
While the above qualifications are essential, the following skills would further enhance your application:
- Knowledge of distributed computing and big data technologies such as Spark, Hadoop, or Kafka.
- Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
- Strong understanding of software development methodologies, including Agile and Scrum.
- Excellent written and verbal communication skills, with the ability to convey complex concepts clearly.
Why Join LambdaWorks?
At LambdaWorks, we believe that our employees are our greatest asset. We offer competitive salaries, comprehensive benefits, and a supportive work environment where innovation thrives. Our commitment to professional development ensures that you will continue to grow and learn in your career.
Benefits
- Competitive salary and performance-based bonuses.
- Flexible work hours and remote working options.
- Access to ongoing professional development and training opportunities.
- Comprehensive health and wellness programs.
- Collaborative, inclusive workplace culture.
Application Process
If you are ready to take on a challenging role that allows you to leverage your machine learning expertise in optimizing low-latency, high-throughput systems, we want to hear from you! Please submit your resume and a cover letter detailing your relevant experience and why you would be a great fit for LambdaWorks.
Join Us in Shaping the Future
Become a pivotal part of our mission at LambdaWorks. Together, we can drive innovation and create exceptional solutions that impact technology. Apply today and let’s shape the future of machine learning together!
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