Remote Principal Machine Learning Operations Developer for AI Research

Related keywords: remote job researchdata science remote jobcreative remote job

Position Overview

The Remote Principal Machine Learning Operations Developer for AI Research position at Autodesk offers an exciting opportunity for candidates looking to work at the forefront of technology and creativity. Autodesk is renowned for its impactful contributions to various industries through software tools that enhance the design of buildings, machinery, and entertainment. In this role, you will collaborate closely with top-tier AI researchers to address significant challenges in machine learning operations while transforming design processes across the globe.

Job Responsibilities

As a Principal MLOps Developer, you will be:

• Supporting AI researchers by building scalable machine learning training pipelines and infrastructure that aid in foundation model development.
• Designing efficient data processing workflows tailored for large-scale design datasets, ensuring compatibility with industry-specific file formats.
• Optimizing distributed training systems, developing solutions for model parallelism, checkpointing, and resource management.
• Analyzing performance bottlenecks to provide solutions that enhance scalability.
• Implementing and maintaining robust and testable code that is well-documented.
• Collaborating with diverse, global teams on projects that bridge the gap between research and product capabilities.
• Presenting results to collaborators and leadership in an understandable manner.

Required Qualifications

To qualify for this position, you must meet the following criteria:

• A BSc or MSc in Computer Science or a related field, or equivalent industry experience.
• Demonstrated experience with distributed systems for machine learning and deep learning at scale.
• Strong knowledge of ML infrastructure and model parallelism techniques, particularly using frameworks like PyTorch, Lightning, Megatron, DeepSpeed, and FSDP.
• Proficiency in Python and experience with strong software engineering practices.
• Familiarity with cloud services and architectures (e.g., AWS, Azure).
• Competence in version control, CI/CD, and deployment pipelines.
• Excellent written documentation skills for documenting code, structures, and experiments.

Preferred Qualifications

While not mandatory, the following qualifications would enhance your candidacy:

• Experience with AEC data formats such as BIM models, IFC files, and CAD files.
• Knowledge of specific data processing challenges in the AEC industry.
• A proven track record in scaling ML training and data pipelines for large datasets.
• Familiarity with distributed data processing tools and ML infrastructure like Apache Spark, Ray, Docker, and Kubernetes.
• A background in Autodesk software products (Revit, Sketchup, Forma) would be advantageous.

Ideal Candidate Traits

The successful applicant will embody the following qualities:

• A self-starter with a capability to solve problems independently while still working collaboratively within a global, remote-first team.
• Adaptability and creativity, able to build new infrastructures or work efficiently with existing codebases.
• An individual who thrives amidst ambiguity in rapidly evolving environments, demonstrating crucial learning and flexibility.
• Excellent communication skills to convey complex technical concepts to a diverse audience.

Company Culture

At Autodesk, the work culture is driven by community; they are committed to fostering a sense of belonging among employees. This means not only creating groundbreaking software but also ensuring that the work environment supports all team members in thriving personally and professionally. The company promotes remote work as a complement to team cohesion, allowing for meaningful interactions and collaboration despite geographical distances.

Salary and Benefits

Although specific salary figures are not disclosed, Autodesk emphasizes salary transparency as part of their competitive compensation package. Offers are made based on individual experience and geographic location. In addition to base salaries, the compensation may include:

• Annual cash bonuses.
• Commissions for sales roles, if applicable.
• Stock grants.
• A comprehensive benefits package designed to support employee well-being and job satisfaction.

Conclusion

The Remote Principal Machine Learning Operations Developer for AI Research position at Autodesk represents a significant opportunity for individuals interested in pushing the boundaries of technology in design. If you possess the required technical skills and the passion for integrating AI to enhance creative processes, Autodesk could be a perfect fit for your career ambitions. With a strong focus on diversity and inclusion, Autodesk aims to create an environment where everyone can contribute meaningfully to a better world. Ready to shape the future? Autodesk encourages you to apply.

This job offer was originally published on jooble.com