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Machine Learning Manager Jobs in Vancouver, BC (NOW HIRING)

Clio

Machine Learning Engineer

Vancouver, BC · Hybrid

CA$152K - CA$174K/yr

Summary: We are currently seeking a Machine Learning Engineer to join our rapidly growing ... Collaborate cross-functionally with engineering, product management, operations and data science to ...

MetaOptima

Machine Learning Engineer

Vancouver, BC · On-site

$100 - $140/hr

As a Machine Learning Engineer, you will join a small, high-impact R&D team and own the full ML ... Develop tooling to clean, label, and manage medical image datasets. * Analyze MVP performance to ...

Vancity

Senior Machine Learning Engineer

Vancouver, BC · Remote

As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on ... Implementing standards and best practices for model versioning, lifecycle management, governance ...

New

BDO Canada

Senior Machine Learning Engineer

Vancouver, BC

CA$84K - CA$128K/yr

... machine learning pipelines using Azure and Databricks. The successful candidate will also lead ... Build and manage scalable data and feature engineering pipelines in Databricks. * Automate model ...

Clio

Manager, Machine Learning Engineering

Vancouver, BC · Remote

CA$226K - CA$272K/yr

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions ...

SAP

Senior Machine Learning Scientist

Vancouver, BC

We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver ... management. As a cloud company with two hundred million users and more than one hundred thousand ...

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Machine Learning Manager information

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Vancouver, BC? The most popular types of Machine Learning jobs in Vancouver, BC are:
What job categories do people searching Machine Learning Manager jobs in Vancouver, BC look for? The top searched job categories for Machine Learning Manager jobs in Vancouver, BC are:
Machine Learning Manager jobs near you

Machine Learning Engineer

Clio

Vancouver, BC • Hybrid

CA$152K - CA$174K/yr

Full-time

Medical, Dental, Vision

Posted 23 days ago

Job description

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely.

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

Summary:

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to new challenges and technologies while making an impact.
This role is available to candidates across Canada (excluding Quebec). If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum twice per week on one of our Anchor Days.

What your team does:

We at Clio have an amazing team that is on a mission to transform the legal experience for all, and our engineering team's goal is to deliver an incredible experience to our customers.In the AI team in Clio, we use the latest technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients' needs.

A day in the life might look like:

  • Develop advanced machine learning models using structured and unstructured data to improve Clio's customer's experience

  • Create LLMs based solutions to help Clio's clients to save time and create efficiencies

  • Collaborate cross-functionally with engineering, product management, operations and data science to identify new ML-driven features for Clio customers

  • Work in an agile environment with our team of machine learning engineers, MLOps engineering and full stack developers across a variety of projects

What you may have:

  • Hands-on experience in model development, particularly with traditional machine learning, NLP, and transformer-based models;

  • Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets;

  • Experience with agentic frameworks and workflows

  • Experience working with open-source LLM foundation models and APIs for commercial LLMs, such as ChatGPT or Gemini;

  • A proven ability to quickly learn new technologies and adapt to a dynamic, fast-paced environment with distributed teams and customers;

  • A portfolio of past projects showcasing your successes, challenges, and growth as a machine learning expert;

  • Exceptional communication skills and the ability to build trust with both internal teams and external customers;

  • A strong desire to continuously learn, challenge yourself, and refine your craft as a machine learning engineer.

This posting is for an existing vacancy.

What you will find here:

Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:

  • Competitive, equitable salary with top-tier health benefits, dental, and vision insurance

  • Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week.

  • Flexible time off policy, with an encouraged 20 days off per year.

  • $2000 annual counseling benefit

  • RRSP matching and RESP contribution

  • Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

The expected salary range* for this role is $129,200 to $152,000 to $174,800 CAD. There are a separate set of salary bands for other regions based on local currency.


*Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility

Our team shows up as their authentic selves, and are united by our mission. We are dedicated todiversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture atclio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.

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