As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement.
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement.
... software engineering, and new product development. This is a rare opportunity to be mentored by ... This project will deliver machine learning models that can be deployed in production environments ...
... software engineering, and new product development. This is a rare opportunity to be mentored by ... This project will deliver machine learning models that can be deployed in production environments ...
Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g ... Experience with deploying machine learning models in production environments or strong software ...
Proficient in Python programming language and related ML frameworks, libraries, and toolkits (e.g ... Experience with deploying machine learning models in production environments or strong software ...
... Machine Learning ScientistAbout the RoleThis is a paid residency that will be undertaken over a ... Founded by clinician-scientists and engineers, it sits at the intersection of cancer biology ...
... Machine Learning ScientistAbout the RoleThis is a paid residency that will be undertaken over a ... Founded by clinician-scientists and engineers, it sits at the intersection of cancer biology ...
The role may have aspects of any or all the following: machine learning (ML) model development, artificial intelligence (AI), data analysis, data science, AI development, data engineering, data ...
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The role may have aspects of any or all the following: machine learning (ML) model development, artificial intelligence (AI), data analysis, data science, AI development, data engineering, data ...
The Resident will work with OpenCycle's engineering team and its acousticians, with field access to ... Experience with deploying machine learning models in production environments or strong software ...
New
The Resident will work with OpenCycle's engineering team and its acousticians, with field access to ... Experience with deploying machine learning models in production environments or strong software ...
New
The Faculty of Engineering is one of North America's top engineering schools, known for innovation ... Strong research record in machine learning, AI, computer vision, NLP, multimodal learning, or ...
The Faculty of Engineering is one of North America's top engineering schools, known for innovation ... Strong research record in machine learning, AI, computer vision, NLP, multimodal learning, or ...
AI, Machine Learning & Advanced Analytics * Design, build, train, and optimize machine learning and AI models to support Assurance transformation initiatives * Develop intelligent solutions ...
AI, Machine Learning & Advanced Analytics * Design, build, train, and optimize machine learning and AI models to support Assurance transformation initiatives * Develop intelligent solutions ...
Collaborates with the K-12 Manager and AI Literacy Manager to develop AI literacy programming in ... Post-Secondary Degree in Education, Machine Learning or related field Experience developing ...
Collaborates with the K-12 Manager and AI Literacy Manager to develop AI literacy programming in ... Post-Secondary Degree in Education, Machine Learning or related field Experience developing ...
Desire to play a founding role and reap the benefits as part of a growth-stage startup with ... Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)
Desire to play a founding role and reap the benefits as part of a growth-stage startup with ... Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)
Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
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Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation.
The successful candidate brings classical data science fundamentals (statistics, machine learning, experimental design) and is equally comfortable in the emerging world of AI engineering: prompting ...
The successful candidate brings classical data science fundamentals (statistics, machine learning, experimental design) and is equally comfortable in the emerging world of AI engineering: prompting ...
Sr Research Engineer
Edmonton, AB · On-site
Research activities span sensors, controls, communications, analytics (including machine learning ... The Sr. Research Engineer will contribute to the research, development, implementation, and ...
Sr Research Engineer
Edmonton, AB · On-site
Research activities span sensors, controls, communications, analytics (including machine learning ... The Sr. Research Engineer will contribute to the research, development, implementation, and ...
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... machine learning use cases. * Build and optimize data workflows using Python and SQL for data ...
Quick apply
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... machine learning use cases. * Build and optimize data workflows using Python and SQL for data ...
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... and machine learning use cases and downstream consumption. * Build and optimize data workflows ...
Quick apply
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... and machine learning use cases and downstream consumption. * Build and optimize data workflows ...
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... and machine learning use cases and downstream consumption. * Build and optimize data workflows ...
Quick apply
... for dedicated data engineering and data product expertise. The Data Product Analyst role is ... and machine learning use cases and downstream consumption. * Build and optimize data workflows ...
Data Analytics Specialist (REMOTE) JP973
Edmonton, AB · On-site +1
... machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis. Duties: Provides hands-on support ...
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Data Analytics Specialist (REMOTE) JP973
Edmonton, AB · On-site +1
... machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis. Duties: Provides hands-on support ...
The Data Engineer(s) will be required on a full-time basis, working across two (2) to three (3) ... Build predictive or descriptive models using statistical, Python, or R-based machine learning ...
Quick apply
The Data Engineer(s) will be required on a full-time basis, working across two (2) to three (3) ... Build predictive or descriptive models using statistical, Python, or R-based machine learning ...
Apply machine learning, statistical modeling, optimization, natural language processing, and AI ... University degree or equivalent experience in Supply Chain Management, Engineering, Business ...
Apply machine learning, statistical modeling, optimization, natural language processing, and AI ... University degree or equivalent experience in Supply Chain Management, Engineering, Business ...
Junior Advisor, Asset Analytics
Edmonton, AB · On-site
BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Junior Advisor, Asset Analytics
Edmonton, AB · On-site
BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... Support the development of new decision-making technologies leveraging advanced machine learning ...
Founding Machine Learning Engineer information
What is a founding machine learning engineer?
A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.
What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?
As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.
What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?
To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
Are founding machine learning engineers still in demand?
Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.
How much does a founding machine learning engineer make?
A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.
Full-time
Re-posted 17 days ago
Job description
Ready for a challenge?
Then Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role:As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement.
You will drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems. In collaboration with the Data Science team, you will ensure that models are deployed seamlessly, optimised for production environments, and meet the highest standards of efficiency and accuracy at scale.
You will also be responsible for architecting and overseeing the development of complex machine learning pipelines, managing both real-time and batch inference systems that are integral to our predictive platforms. You will work closely with cross-functional teams to anticipate future needs, recommending and implementing long-term solutions that align with our business objectives.
As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration.
These are some of the key ingredients to the role:As a senior member of the team, you will mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation. Your expertise will play a key role in conducting comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration.
Beyond technical execution, you will be expected to communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights. You will present innovative solutions to key stakeholders, making compelling cases for new initiatives and guiding the strategic direction of our machine learning efforts.
Finally, you will lead the integration of new technologies and tools into our infrastructure, staying ahead of industry trends and ensuring that our machine learning frameworks remain at the cutting edge of technological advancements.
Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes).
Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production.
Extensive experience in designing, deploying, and maintaining scalable models and services in production environments.
Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization.
Experience with MLflow for experiment tracking and model management, and Airflow or Dagster for orchestrating end-to-end ML pipelines and workflows.
Significant experience with Data Engineering, Kafka, and stream processing.
Proficiency in Python and SQL; or any other programming languages is a strong plus.
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
Inclusion, Diversity & BelongingNo matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
What else are we delivering?Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.
Note: All employees will be asked to sign a Consent for Disclosure of Personal Information in order to complete a background check. Job offers will be conditional upon results that the Company determines to be satisfactory.
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Employment Type: FULL_TIME