Experienced Software Engineer for Scalable Machine Learning Infrastructure
7 days ago
Job Title: Experienced Software Engineer for Scalable Machine Learning Infrastructure
">We are seeking a seasoned software engineer to join our team and contribute to the development of cutting-edge machine learning infrastructure. The successful candidate will play a key role in designing, building, and maintaining scalable, high-performance infrastructure that empowers our machine learning engineers and data scientists to rapidly experiment with and innovate deep learning models for autonomous driving applications.
">In this challenging role, you'll initially focus on re-architecting and enhancing our dynamic provisioning platform for remote ML experiments, significantly improving the agility and efficiency of our ML development lifecycle. As we evolve, you'll contribute to broader ML infrastructure enhancements, ensuring our training ecosystem remains cutting-edge and robust.
">Key Responsibilities:
">- Collaborate with ML engineers and data scientists to understand their complex needs and design and implement robust tools and processes that streamline the entire ML development lifecycle.">
- Drive the design, development, and optimization of our core ML infrastructure, leveraging Kubernetes to build robust solutions.">
- Champion best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.">
- Take ownership of key infrastructure components and initiatives.">
- Mentor junior engineers with high-level system design and code reviews.">
Requirements:
">- 5+ years of professional experience in software engineering.">
- Strong knowledge of software engineering principles, distributed systems.">
- Expertise with Python or Go.">
- Experience with AWS services or other Cloud platforms.">
- Experience with Kubernetes.">
- Strong written and oral communication skills.">
- Demonstrated ability to mentor and guide junior engineers.">
- Experience with the various stages of the ML development lifecycle is a plus.">
- Experience with ML frameworks such as PyTorch, Ray is a plus.">
You will bring:
">- Machine Learning expertise.">
- Oral Communication Skills.">
- Kubernetes expertise.">
- Software Engineering skills.">
- MySQL skills.">
- Agile methodology knowledge.">
- JavaScript skills.">
- Reliability skills.">
- PyTorch skills.">
- SQL skills.">
- System Design skills.">
- Distributed Systems knowledge.">
- Python programming skills.">
- Java programming skills.">
- Databases knowledge.">
- Software Development expertise.">
About the Role:
">This is an exciting opportunity to work on cutting-edge machine learning infrastructure and contribute to the growth and success of our organization. If you're a motivated and experienced software engineer looking for a new challenge, please submit your application.
">What You Will Achieve:
">In this role, you will have the opportunity to make a significant impact on the development of our machine learning infrastructure. You will work closely with our team of experienced engineers and data scientists to design, build, and maintain scalable, high-performance infrastructure that enables rapid experimentation and innovation in deep learning models.
">Contact Information:
">Please submit your application, including your resume and a cover letter, to us.
">We Offer:
">A competitive salary and benefits package.
">The opportunity to work on cutting-edge machine learning infrastructure.
">A collaborative and dynamic work environment.
">Professional development opportunities.
">Flexible working arrangements.
">Ongoing support and mentoring.
">A fun and inclusive company culture.
">An excellent remuneration package.
"]},-
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