Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Senior ML Platform Engineer image - Rise Careers
Job details

Senior ML Platform Engineer

Synthesia is on a mission to simplify video production using AI technology. They are seeking a Senior ML Platform Engineer to join their ML Platform Team, responsible for developing a robust infrastructure for R&D.

Skills

  • Python programming
  • Infrastructure setup for ML teams
  • Experience with CI/CD and data pipelines
  • Kubernetes and containerization

Responsibilities

  • Develop and maintain ML platform for researchers
  • Manage cloud infrastructure and tooling for data collection and model training
  • Ensure seamless experience for researchers
  • Work with GPU clusters on cloud environments

Education

  • Degree in Computer Science or related field

Benefits

  • Attractive compensation package including stock options
  • 25 days of annual leave plus public holidays
  • Career growth opportunities
  • Remote work options along with hybrid work settings
To read the complete job description, please click on the ‘Apply’ button
Synthesia Glassdoor Company Review
4.7 Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star icon
Synthesia DE&I Review
No rating Glassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star iconGlassdoor star icon
CEO of Synthesia
Synthesia CEO photo
Unknown name
Approve of CEO
What You Should Know About Senior ML Platform Engineer, Synthesia

Are you ready to take the plunge into a game-changing role? Synthesia is on the lookout for a Senior ML Platform Engineer to join our innovative team in Europe. At Synthesia, we believe that video will reshape the way people communicate and share knowledge. Our AI video communications platform simplifies video production for everyone, enabling organizations to effortlessly create and collaborate on high-quality videos. As a Senior ML Platform Engineer, you will join our talented ML Platform Team, where your primary responsibility will be to enhance our ML platform for the R&D department. You will manage our cloud infrastructure and tools, ensuring our researchers have everything they need to build and scale AI models efficiently. Picture yourself optimizing GPU clusters in a dynamic cloud environment, delivering seamless experiences, and collaborating with brilliant researchers. Synthesia's success is driven by a passionate team, and we’re looking for someone with a strong coding background in Python, familiarity with Kubernetes, and experience in setting up infrastructure for machine learning teams. With the support of a growing unicorn, you will significantly impact the future of AI-driven video communications. So, if you're excited about driving innovation and cultivating a superb developer experience, then we want to hear from you and be part of this fantastic journey together!

Frequently Asked Questions (FAQs) for Senior ML Platform Engineer Role at Synthesia
What are the key responsibilities of a Senior ML Platform Engineer at Synthesia?

As a Senior ML Platform Engineer at Synthesia, your key responsibilities include developing and maintaining our ML platform, managing cloud infrastructure, supporting research teams to scale AI models, and optimizing GPU clusters. You will work closely with researchers to enhance their efficiency and provide a collaboration environment where they can thrive.

Join Rise to see the full answer
What qualifications are required for the Senior ML Platform Engineer position at Synthesia?

To be considered for the Senior ML Platform Engineer role at Synthesia, candidates should have a background in Computer Science, with at least three years of industry experience. Proficiency in Python, knowledge of CI/CD pipelines, experience with Kubernetes, and familiarity with major cloud providers like AWS, GCP, or Azure are essential qualifications.

Join Rise to see the full answer
What tools and technologies should a Senior ML Platform Engineer be familiar with at Synthesia?

A Senior ML Platform Engineer at Synthesia should have experience with GPU-based HPC clusters, containerization technologies, and workflow orchestrators such as Kubeflow, Airflow, or Dagster. Familiarity with cloud services is also vital as you will be working in a cloud-first environment.

Join Rise to see the full answer
How does Synthesia support the professional development of its Senior ML Platform Engineers?

At Synthesia, we are dedicated to the professional development of our team members. As a Senior ML Platform Engineer, you will find ample opportunities for career growth, participate in company retreats, and engage in regular planning and social events, all designed to nurture skills and foster collaboration.

Join Rise to see the full answer
What is the work culture like for a Senior ML Platform Engineer at Synthesia?

The work culture at Synthesia is dynamic and inclusive. As a Senior ML Platform Engineer, you will enjoy a hybrid work environment, supportive team collaboration, and a company atmosphere that values open communication, creativity, and employee well-being, while having fun along the way!

Join Rise to see the full answer
Common Interview Questions for Senior ML Platform Engineer
Can you explain your experience with cloud infrastructure for machine learning?

When answering this question, detail your specific experiences with cloud platforms like AWS, GCP, or Azure. Highlight projects where you set up ML infrastructures, the challenges faced, and how you overcame them, emphasizing any notable outcomes.

Join Rise to see the full answer
How do you manage CI/CD pipelines for machine learning models?

Discuss your methodologies for implementing CI/CD in ML projects, including the tools you have used. Provide examples of how you've automated testing and deployment, which can greatly enhance a team's workflow efficiency.

Join Rise to see the full answer
What kind of GPU-based technologies have you worked with?

Be prepared to elaborate on specific GPU technologies and architectures you’ve used. Explain how you optimized workloads and improved model training performance to drive impactful results in your past roles.

Join Rise to see the full answer
Describe a time you improved the developer experience for data scientists.

Share a specific example that illustrates your proactive approach to enhancing developer experience. Focus on the tools or processes you introduced and the positive feedback received from data scientists as a result.

Join Rise to see the full answer
How familiar are you with Kubernetes and containerization?

Talk about your hands-on experience with Kubernetes and container orchestration. Mention projects where you deployed applications in a Kubernetes environment and how that facilitated smoother operations for teams.

Join Rise to see the full answer
What orchestration tools have you utilized in your previous roles?

Discuss your experience with tools like Kubeflow, Airflow, or Dagster. Elaborate on the use cases for these tools in your previous projects, and how they contributed to managing and scheduling workflows efficiently.

Join Rise to see the full answer
Can you give examples of documentation best practices in ML infrastructure?

When answering, emphasize your commitment to maintaining technical documentation. Provide examples of how your documentation practices improved team collaboration and reduced onboarding times for new team members.

Join Rise to see the full answer
How do you ensure efficient collaboration between ML researchers and platform engineers?

Describe your strategies for fostering communication between teams, such as regular check-ins, collaborative tools, and feedback loops. Highlight past successes in promoting a culture of openness and teamwork.

Join Rise to see the full answer
What motivated you to apply for the Senior ML Platform Engineer position at Synthesia?

Make your answer personal and passionate. Discuss what excites you about Synthesia's mission, the potential for growth in AI technology, and how your skills align with the company's goals.

Join Rise to see the full answer
What challenges do you foresee in a role as a Senior ML Platform Engineer?

Give an honest perspective about the landscape of ML engineering, mentioning challenges related to scalability, collaboration, and evolving technology. Discuss how you plan to approach these challenges based on past experiences.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
Posted 12 days ago
Photo of the Rise User
Posted 4 days ago
Photo of the Rise User
Posted 10 days ago
Photo of the Rise User
Posted 13 days ago
Photo of the Rise User
Writer Hybrid San Francisco
Posted 3 days ago
Dare to be Different
Diversity of Opinions
Inclusive & Diverse
Collaboration over Competition
Fast-Paced
Growth & Learning
Photo of the Rise User
Posted 5 days ago
Photo of the Rise User
Anduril Industries Hybrid Quincy, Massachusetts, United States
Posted 3 days ago
Photo of the Rise User
Veolia Environnement SA Remote 53 State St, Boston, MA 02109, USA
Posted 5 days ago
Photo of the Rise User
Posted 9 minutes ago
MATCH
Calculating your matching score...
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 19, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!