Dotsfty: Machine Learning Operations Engineer (MLOps)

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Company Overview

Dotsfty is a pioneering company headquartered in Bellevue, WA, dedicated to enhancing public road safety. Utilizing cutting-edge vision AI technology tailored for dashcams, the company monitors a vast fleet of over 10,000+ drivers, aiming to significantly reduce accident-related costs for businesses by more than 50%. Presently, Dotsfty operates within the USA and Japan markets and has attracted attention from notable investors, including East Asia-based venture capital firms and a founding member from OpenAI as an angel investor. The company is currently in its seed-stage and is intent on driving a transformative approach to road safety.

Job Position

The company is on the lookout for a Machine Learning Operations Engineer (MLOps) to become a vital part of its team. In this essential role, your primary responsibilities will center around overseeing the operations and management of machine learning models, notably including YOLO-based object detection and various Vision-Language Models (VLMs) like Qwen and Gemini. As the MLOps engineer, you will possess a crucial role in tasks such as model fine-tuning, data cleaning and annotation, as well as performance testing of new models. This role holds strategic importance in ensuring that Dotsfty's machine learning initiatives operate effectively and yield optimal outcomes.

Responsibilities

Your responsibilities will include:

• Managing and operationalizing machine learning models focused on YOLO-based object detection and VLMs.
• Fine-tuning these models to enhance both accuracy and efficiency in operations.
• Cleaning, annotating, and preprocessing data, which is necessary for model training and evaluation.
• Testing and validating new models to confirm they meet the required performance benchmarks.
• Collaborating with cross-functional teams to successfully deploy models in production environments.
• Monitoring and maintaining model performance when applied in real-world applications.
• Staying informed with the latest advancements in MLops, computer vision, and AI technologies.

Required Skills

Education:

• A Master’s degree in Computer Science or a related field from a top university.

Experience:

• Demonstrated experience in MLops, specifically in managing and deploying machine learning models.

Technical Skills:

• Strong proficiency in Python programming.
• Hands-on experience with object detection models (e.g., YOLO) and Vision-Language Models (e.g., Qwen, Gemini).
• Familiarity with data cleaning, annotation, and preprocessing techniques.
• A solid background in model fine-tuning and performance optimization.

Soft Skills:

• Possess strong problem-solving abilities and meticulous attention to detail.
• Excellent communication and collaboration skills are vital.
• Ability to excel in a fast-paced startup environment.

Salary

While the job description does not explicitly mention a salary, positions in machine learning engineering, particularly in a startup environment, often offer competitive compensation packages. It is advisable for job seekers to discuss salary expectations during the interview process.

Why Join Dotsfty?

• Be part of a mission-driven company that is revolutionizing road safety with innovative AI applications.
• Collaborate with a talented and passionate team that is committed to the cause.
• Discover opportunities for growth and make a substantial impact within a rapidly growing startup landscape.

Conclusion

If you are a driven individual with a keen interest in MLops and machine learning technologies, this position at Dotsfty could be an incredible opportunity. You will not only contribute to innovative projects but also play a pivotal role in enhancing public safety through advancements in AI technology. Dotsfty offers a dynamic work environment that supports collaboration and innovation, making it a promising workplace for budding ML engineers.

This job offer was originally published on weworkremotely.com