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Waabi

Senior / Staff Machine Learning Infrastracture Engineer

Waabi · United States

  • Hybrid
  • Full-time
  • $195,500 / year
  • United States
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Job highlights

  • Design and implement ML platform for continuous deployment.
  • Automate ML model training, testing, and deployment.
  • Optimize ML pipelines for scale, efficiency, cost.
  • Monitor and maintain model performance in production.
  • Collaborate with data scientists and engineers.

About the role

About Waabi

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

What You Will Do

  • Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
  • Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
  • Automate the training, testing and deployment processes for machine learning models.
  • Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
  • Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
  • Ensure compliance with security and data privacy standards in all MLOps activities.

Qualifications

  • 3-5 years of experience supporting machine learning training platforms.
  • Bachelor’s degree in Computer Science, Data Science or a related field.
  • Strong understanding of machine learning principles and model lifecycle management.
  • Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
  • Experience managing technology such as JupyterHub and Kubeflow.
  • Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
  • Strong problem-solving skills and ability to troubleshoot complex issues.
  • Experience with monitoring tools and practices for model performance in production.
  • Ability to work collaboratively in cross-functional teams.

Bonus/Nice to Have

  • Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
  • Knowledge of big data technologies like Apache Spark or Hadoop.
  • Familiarity with data engineering practices and tools.
  • Experience with A/B testing and model validation in production environments.
  • Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.

Compensation and Benefits

The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits

  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Key skills/competency

Machine Learning Infrastructure, MLOps, Python, TensorFlow, PyTorch, Cloud Platforms (AWS, Azure, GCP), Kubernetes, Docker, Infrastructure-as-Code, CI/CD.

Skills & topics

  • Machine Learning Infrastructure
  • MLOps
  • Python
  • TensorFlow
  • PyTorch
  • AWS
  • Azure
  • GCP
  • Kubernetes
  • Docker
  • Senior Engineer
  • Machine Learning Engineer

How to get hired

  • Tailor your resume: Highlight machine learning infrastructure, MLOps, Python, and cloud platform experience.
  • Showcase project impact: Quantify achievements in automating ML pipelines and optimizing performance.
  • Prepare for technical questions: Review ML principles, model lifecycle, Kubernetes, Docker, and cloud services.
  • Demonstrate collaboration: Be ready to discuss teamwork and problem-solving in cross-functional environments.
  • Research Waabi: Understand their mission in autonomous transportation and Physical AI.

Technical preparation

Master Python, TensorFlow, PyTorch for ML models.,Deep dive into Kubernetes and Docker containerization.,Practice cloud ML services on AWS, Azure, GCP.,Build CI/CD pipelines for ML model deployment.

Behavioral questions

Describe a complex ML pipeline problem you solved.,How do you collaborate with data scientists and engineers?,Share an experience optimizing for scalability and cost.,How do you ensure security and data privacy in MLOps?

Frequently asked questions

What are the key responsibilities for a Senior Machine Learning Infrastructure Engineer at Waabi?
As a Senior Machine Learning Infrastructure Engineer at Waabi, you will design, develop, and implement the ML platform for continuous deployment, automate training/testing/deployment, optimize pipelines for scalability and cost-effectiveness, and ensure compliance with security standards. You'll collaborate closely with data scientists and engineers to understand model requirements and ensure optimal performance, accuracy, and reliability of ML models in production.
What are the essential qualifications for this Senior Machine Learning Infrastructure Engineer role at Waabi?
Essential qualifications include 3-5 years of experience supporting ML training platforms, a Bachelor's degree in Computer Science or a related field, and a strong understanding of ML principles and model lifecycle management. Proficiency in Python and ML frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, GCP), and familiarity with Kubernetes, Docker, JupyterHub, and Kubeflow are also crucial.
Does Waabi consider candidates with experience in infrastructure-as-code (IaC) for the Senior Machine Learning Infrastructure Engineer position?
Yes, experience with infrastructure-as-code (IaC) tools like Terraform or Crossplane is considered a bonus/nice-to-have for the Senior Machine Learning Infrastructure Engineer role at Waabi, indicating a preference for candidates who can manage infrastructure programmatically.
What is the salary range for a Senior Machine Learning Infrastructure Engineer at Waabi in the US?
The US yearly salary range for this Senior Machine Learning Infrastructure Engineer role at Waabi is between $157,000 and $234,000 USD. This base salary range is in addition to competitive perks, benefits, equity incentive awards, and an annual performance bonus.
What kind of work arrangement does Waabi offer for the Senior Machine Learning Infrastructure Engineer position?
The job description mentions 'Flexible hours and Work from Home support,' suggesting a hybrid or remote work arrangement. However, it also notes 'Daily drinks, snacks and catered meals (when in office)' and 'team building activities and social events both on-site, off-site & virtually,' which points towards a hybrid model or roles that may require occasional office presence.
How does Waabi utilize AI in its hiring process for roles like Senior Machine Learning Infrastructure Engineer?
Waabi may use AI tools to assist with parts of the hiring process, such as reviewing applications and analyzing resumes. These tools are meant to support the recruitment team and do not replace human judgment. All final hiring decisions are made by humans.
What are the benefits and perks of working as a Senior Machine Learning Infrastructure Engineer at Waabi?
Waabi offers competitive compensation, equity awards, health and wellness benefits (Medical, Dental, Vision for full-time employees), unlimited vacation, flexible hours, work from home support, and perks like daily snacks and catered meals when in the office. They also organize regular team-building activities and social events.