Manager, Machine Learning

Loblaw Digital; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading company in Canada is seeking a Manager for Machine Learning to drive innovation in AI technologies. This role involves leading a team to develop cutting-edge machine learning models and algorithms, enhancing the shopping experience for millions of Canadians. The ideal candidate will have a strong background in AI/ML, proven leadership skills, and a passion for technology. Join a dynamic team that values collaboration and creativity in shaping the future of search technology.

Qualifications

• 5-7 years in software development with AI/ML experience.
• Experience managing and mentoring engineering and data science teams.

Responsibilities

• Lead design and implementation of machine learning models.
• Oversee development of AI technologies and guide team performance.

Skills

AI

ML

Data Analysis

Communication

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

SQL

NoSQL

Python

Java

Job description

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Pourquoi ce role est-il important?

Please note, Loblaw's Return To Office Policy is 4 days in office.

Loblaw Digital est l’équipe responsable de la construction et de l’exploitation des activités numériques pour le plus grand et le plus prospère détaillant au Canada. Nous créons des solutions de commerce électronique de pointe réactives, dont le site Cliquez et ramassez de Loblaws, qui offre une expérience de courses alimentaires en ligne novatrice. Nous avons également mis au point, et exploitons maintenant, le site primé JoeFresh.com, ainsi que l’application pour iPad et iPhone. Nous sommes établis dans le centre-ville de Toronto et fonctionnons comme une jeune entreprise, mais disposons des ressources d’une entreprise beaucoup plus importante. Nous sommes une équipe sympathique d’entrepreneurs en constante évolution qui travaille en collaboration en vue de transformer la façon dont les Canadiens magasinent.

Pourquoi ce role est-il important?

Please note, Loblaw's Return To Office Policy is 4 days in office.

As a Machine Learning Engineering Manager, you will be at the forefront of innovation, leading the design, development, and implementation of cutting-edge machine learning models and algorithms, including integration with LLMs and other GenAI tools. Your leadership will directly impact millions of Canadians, shaping the way they interact with search interfaces and ultimately enhancing their shopping experience.

In this role, you will oversee the development of advanced technologies such as Gen AI, LLMs, ML models, Vector search, semantic search, and semantic matching, constantly pushing the boundaries of what’s possible. You will guide your team in working with large datasets to identify trends and patterns that inform and improve search engine functionality. Your focus will be on evaluating and enhancing model performance using various metrics, ensuring the highest level of efficiency and accuracy. Staying abreast of the latest advancements in machine learning and related technologies is crucial, applying new knowledge to continually refine our solutions.

As a manager, you will cultivate a collaborative environment where your team's ideas are valued, and they are empowered to challenge assumptions and contribute to a dynamic atmosphere. You will work closely with cross-functional teams, data scientists, and software engineers, bringing diverse perspectives to the table to deliver groundbreaking solutions. Join us in shaping the future of search technology and making a significant impact on the shopping experience for millions of Canadians.

What You'll Do:

1. Cultivate a deep understanding of the portfolio of machine learning components we utilize, including AI, Gen AI, and LLMs, along with their respective strengths and weaknesses, to provide solutions to existing and future challenges.
2. Lead the technical architecture for machine learning components and cross-functional ML teams, ensuring integration with advanced AI technologies.
3. Define the long-term vision for your team, aligning with the company's strategic and tactical goals, with a focus on machine learning and AI initiatives.
4. Translate project goals and product roadmaps into organized technical tasks, collaborating with other EMs to ensure alignment.
5. Guide the team to improve our AI and ML components, ML Ops, and processes through your knowledge of industry trends and tools, along with your own experiences.
6. Provide guidance and direction to the ML development team to remove obstacles and keep initiatives on target and moving forward.
7. Coach and mentor developers in the team through technical design sessions, code reviews, and pair programming, with an emphasis on machine learning and AI practices.
8. Provide technical guidance and support in resolving critical production issues, particularly those related to machine learning and AI.
9. Collaborate with business and product stakeholders to successfully deliver new machine learning and AI features and capabilities.
10. Construct design documents and documentation to aid in maintenance and code reuse, particularly for machine learning and AI systems.
11. Have one-on-one meetings with your team members.
12. Conduct performance reviews and set accountability for team members.

Does This Sound Like You?

1. Minimum of 5-7 years in software development, including substantial AI/ML experience.
2. Several years in a leadership role, managing and mentoring teams of engineers and data scientists.
3. Proven track record in managing complex projects, including planning, execution, and delivery.
4. Experience working closely with product managers, data scientists, and other stakeholders.
5. Deep understanding of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java).
6. Strong knowledge of AI/ML concepts, including advanced technologies like Gen AI, LLMs, and semantic search.
7. Expertise in data handling, preprocessing, and pipeline development, with proficiency in SQL/NoSQL databases.
8. Ability to analyze large datasets, identify trends, and evaluate model performance using various metrics.
9. Strong understanding of security architecture and data privacy regulations, ensuring compliance with industry standards.
10. Ability to solve complex technical problems and drive innovation with a continuous learning mindset.
11. Practical experience in the production implementation of high availability AI/ML systems, ensuring reliability and scalability.
12. Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.
13. Ability to adapt to changing technologies and business requirements, fostering a positive and inclusive team culture.

Comment Réussir:

Chez Loblaw Digital, nous recherchons toujours des personnes formidables pour continuellement renforcer notre culture. Nous croyons que les gens formidables façonnent nos valeurs, sont authentiques, bâtissent la confiance et créent des liens.

Si cela vous ressemble et que vous êtes ouvert d’esprit, que vous avez une bonne attitude face aux changements et que vous aimez les défis d’un environnement de travail aux détails dynamiques, postulez aujourd’hui.

Type d'emploi: Temps plein

Role: Poste régulier

La diversité culturelle du Canada est une source de fierté nationale. Nous reflétons cette diversité dans nos produits, notre personnel et notre culture d’entreprise. Des mesures d’adaptation sont offertes sur demande pour les candidats et collègues ayant des handicaps.

Nous croyons que faire ce qu'il faut, respecter la loi, fait partie de notre engagement éthique.