Senior Staff Engineer, Machine Learning

MLS Soccer league; Thunder Bay; Hybrid; CAD 180,000 - 200,000; Full time

Job summary

Major League Soccer is seeking a Senior Staff Machine Learning Engineer to enhance fan engagement through advanced AI technologies. This role involves developing scalable solutions with a focus on generative AI applications, collaborating with cross-functional teams, and leveraging state-of-the-art techniques in machine learning. The ideal candidate will have extensive experience in deploying ML solutions and a strong foundation in AI principles.

Benefits

Comprehensive medical, dental, and vision coverage

$500 wellness reimbursement

Generous Holiday and PTO schedule

On-the-job training and ongoing educational opportunities

Qualifications

• 8+ years of relevant experience deploying machine learning solutions.
• Strong computer science fundamentals and statistical methods.
• Ability to work independently and collaboratively.

Responsibilities

• Design and develop AI solutions using deep learning techniques.
• Integrate large language models and generative AI solutions.
• Collaborate with teams to create production-grade ML pipelines.

Skills

Deep learning frameworks

Computer vision

Natural language processing (NLP)

Large language models (LLMs)

Generative AI (GenAI)

Distributed processing systems

Interpersonal skills

Problem-solving skills

Education

Bachelor’s degree in computer science or a related field

Master's degree preferred

Tools

AWS Amazon Bedrock

Azure OpenAI Service

Apache Spark

Job description

Overview

At Major League Soccer, we strive to provide the best fan experience. The Senior Staff Machine Learning Engineer will contribute to this mission through advanced AI technology. The role involves building scalable machine learning solutions with a strong focus on generative AI applications to enhance fan engagement and content personalization. We are committed to innovation and leveraging cutting-edge technologies to continuously improve and redefine the digital fan experience

Responsibilities

• Design and develop advanced AI solutions leveraging state of the art deep learning techniques in natural language processing and computer vision.
• Develop and integrate large language models (LLMs) and generative AI (GenAI) solutions to enhance fan engagement focusing on emerging trends such as agentic AI.
• Apply best practices in MLOps, including automated model performance evaluation, continuous integration and deployment (CI/CD), and real-time monitoring and governance.
• Collaborate with data engineering and platform teams to create production-grade pipelines for ML training and inference, incorporating feature stores, automated retraining, and scalable infrastructure
• Conduct research and stay updatedon the latest advancements in AI and machine learning to continuously improve solutions.
• Develop and maintain documentationfor AI models, processes, and systems to ensure transparency and reproducibility.
• Engage with stakeholdersto understand business requirements and translate them into technical specifications for AI solutions.

Education & Experience

• Bachelor’s degree in computer science or a related field required; Master's degree preferred.
• 8+ years of relevant experience with a proven track record of deploying machine learning solutions in production environments.

Qualifications

Required Skills

• Strong computer science fundamentals and statistical methods.
• Hands-on experience with deep learning frameworks.
• Extensive experience in computer vision, NLP, and large language models (LLMs).
• Proficiency in developing and deploying generative AI (GenAI) solutions.
• Proficiency in ML services in cloud platforms such as AWS Amazon Bedrock or Azure OpenAI Service for serverless deployment of generative AI applications.
• Working knowledge of distributed processing systems like Apache Spark.
• Ability to work independently and with cross-functional teams.
• Publications in the field of machine learning, AI, or related areas.
• High-level of commitment to a quality work product and organizational ethics, integrity and compliance
• Ability to work effectively in a fast paced, team environment
• Strong interpersonal skills and the ability to effectively communicate, both verbally and in writing
• Demonstrated decision making and problem-solving skills
• High attention to detail with the ability to multi-task and meet deadlines with minimal supervision
• Proficiency in Word, Excel, PowerPoint and Outlook

Desired Skills

• Knowledge of the sport of soccer
• Ability work non-traditional hours, including evenings, weekends, and holidays

Total Rewards

Major League Soccer offers a competitive starting base salary of $180,000 - $200,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities.

We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.

At Major League Soccer, we are proud to be an equal opportunity employer. We value diversity and inclusion and believe that a diverse workforce enhances our ability to compete in the marketplace. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

We are dedicated to ensuring that individuals with disabilities are provided reasonable accommodation throughout the job application or interview process, essential job functions, and other benefits and privileges of employment. If you require accommodation, please contact us to request it.

Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness.