Machine Learning Engineer

Posted 2024-11-09

View full description

💎 Seniority level: Proven experience as a Machine Learning Engineer or similar role.

📍 Location: Canada

🔍 Industry: Landscape construction

🏢 Company: GoMaterials

🗣️ Languages: English

⏳ Experience: Proven experience as a Machine Learning Engineer or similar role.

🪄 Skills: AWSPythonMachine LearningPyTorchAlgorithmsAzureData scienceData StructuresTensorflowAnalytical SkillsCI/CD

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Experience with AI Agent solution development and frameworks.
Proven experience as a Machine Learning Engineer or similar role.
Strong programming skills in Python, R, or similar languages.
Familiar with fine-tuning techniques on existing models.
Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.
Strong understanding of data structures, algorithms, and mathematical concepts used in machine learning.
Familiar with deep learning techniques and development processes.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.

Responsibilities:

Design, develop, and implement machine learning and deep learning algorithms and models.
Explore and define business problems, design and develop AI agent solutions for specific tasks.
Collaborate with product team and engineers to transform raw data into actionable insights.
Train, test, and optimize models to ensure accuracy, efficiency, and scalability.
Deploy machine learning models into production environments, ensuring reliability and robustness.
Monitor and maintain machine learning pipelines, identifying areas for improvement or enhancement.
Conduct data preprocessing and feature engineering.
Research and evaluate new algorithms, tools, and techniques to enhance model performance.
Document processes, models, and experiments for knowledge sharing and reproducibility.

Apply

Related Jobs

Apply

🔥 Staff Machine Learning Engineer, Ads Optimization

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 230000 - 322000 USD per year

🔍 Advertising technology

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces.
Significant experience in one or more general-purpose programming languages like Java, Python, Go, Scala, C++, or similar.
Familiarity with data processing frameworks like Spark, Flink, Kafka, Druid, etc.
Experience with a cloud service provider like AWS or GCP.
Knowledge of tools like Kubernetes, Drone, CircleCI, Spinnaker, Argo, Airflow, Docker, Thrift.
Experience with datastores such as ElasticSearch/Amazon OpenSearch, Redis, Postgres, Cassandra, BigQuery.
Experience with machine learning modeling frameworks like TensorFlow or PyTorch.

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems.
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution.

AWSDockerPythonElasticSearchGCPJavaKafkaKubernetesMachine LearningPyTorchC++AirflowAlgorithmsCassandraElasticsearchGoPostgresRedisSparkTensorflow

Posted 2024-11-21

Apply

🔥 Senior Machine Learning Engineer - Ads Retrieval

Posted 2024-11-21

📍 United States, Canada

🧭 Full-Time

💸 216700 - 303400 USD per year

🔍 Social Media/Technology

2+ years of experience with leading applied machine learning models with Tensorflow/Pytorch.
5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset.
Prior experience with information retrieval and recommendation system.
Ads domain knowledge on product and ML solutions is a plus.

Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques.
Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks.
Drive technical roadmaps and lead day to day project execution.
Contribute meaningfully to team vision and strategy.
Work on large scale data systems, backend services, and product integration.
Collaborate closely with multiple stakeholders across product, engineering, research, and marketing.
Be a mentor and cross-functional advocate for the team.

PythonJavaMachine LearningPyTorchC++StrategyAlgorithmsGolangTensorflow

Posted 2024-11-21

Apply

🔥 Lead Machine Learning Engineer (Canada Remote)

Posted 2024-11-07

📍 Canada

🔍 Healthcare

Experience in machine learning and data engineering.
Strong programming skills.

Play a crucial role in shaping integrative care through machine learning.
Leverage mission and extensive data resources.
Revolutionize the field of integrative care using cutting-edge techniques.

LeadershipPythonArtificial IntelligenceData AnalysisData MiningJavaJavascriptKerasMachine LearningNumpyPeople ManagementPyTorchJavaScriptCross-functional Team LeadershipAlgorithmsData analysisData miningGoTensorflowCommunication SkillsAnalytical SkillsCollaboration

Posted 2024-11-07

Apply

🔥 Staff Machine Learning Engineer

Posted 2024-11-07

📍 Canada

🧭 Full-Time

💸 178000 - 228000 USD per year

🔍 Financial technology

🏢 Company: Affirm

8+ years of experience as a machine learning engineer, with a PhD counting for up to 2 years.
Experience in developing machine learning models from inception to impact.
Proficiency in machine learning, including Generalized Linear Models, Gradient Boosting, Deep Learning, etc.
Strong engineering skills in Python and data manipulation with SQL.
Experience with large scale distributed systems like Spark or Ray.
Familiarity with open source projects like scikit-learn, pandas, NumPy, etc.
Experience with Kubernetes, Docker, and Airflow is a plus.
Excellent communication skills and capability to drive cross-functional collaboration.

Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make decisions.
Partner with engineering teams to build model training, decisioning, and monitoring systems.
Research solutions and develop prototypes for future credit decisioning.
Implement and scale data pipelines, features, and algorithms for production models.
Collaborate with various teams to define requirements for new products.

PythonSQLKubernetesMachine LearningNumpyPyTorchAirflowAlgorithmsPandasSparkCommunication Skills

Posted 2024-11-07

Apply

🔥 Machine Learning Engineer II, ML Fraud

Posted 2024-10-28

📍 Canada

🧭 Full-Time

💸 125000 - 175000 CAD per year

🔍 Fintech

🏢 Company: Affirm

2+ years of experience as a machine learning engineer or PhD in a relevant field.
Proficiency in machine learning, with experience in gradient boosting, online learning, and deep learning.
Domain knowledge in fraud risk is a plus.
Strong programming skills in Python.
Experience with large-scale distributed systems like Spark and Ray.
Experience with machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch.
Excellent communication skills and ability to drive cross-functional requirements.
Ability to present technical concepts in audience-appropriate ways.
Persistence, patience, and a strong sense of responsibility.

Use proprietary and third-party data to develop machine learning models that predict likelihood of fraud.
Partner with the ML platform team to build fraud-specific ML infrastructure.
Research groundbreaking solutions and develop prototypes for fraud decisioning.
Implement and scale data pipelines, new features, and algorithms essential to production models.
Collaborate with engineering, fraud, and product teams to define new product requirements.
Develop fraud models to maximize user conversion while minimizing losses.

PythonMachine LearningNumpyPyTorchAlgorithmsPandasSparkCommunication Skills

Posted 2024-10-28

Apply

🔥 Staff Machine Learning Engineer (Virtual Agents)

Posted 2024-10-24

📍 Canada

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Cresta

Bachelor’s Degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred, or equivalent professional experience.
7+ years of hands-on industry experience with AI and machine learning, preferably with 3+ years of experience working with LLMs in large-scale production environments.
Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs.
Proven leadership in designing and deploying AI solutions at scale, with a deep understanding of model optimization and real-time AI applications.
Extensive practical knowledge of modern machine learning frameworks and technologies (e.g., PyTorch, Tensorflow, Hugging Face, NumPy), as well as experience with distributed systems and cloud-based AI infrastructure.
Strong problem-solving and strategic thinking abilities, with a proven ability to lead cross-functional teams and work collaboratively to deliver innovative AI solutions in production.
A passion for driving AI adoption and pushing the boundaries of AI technology into real-world applications, with an ability to mentor junior engineers and influence strategic decisions across the organization.

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models.
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios.
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions.
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents.
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

LeadershipMachine LearningNumpyPyTorchTensorflowProblem SolvingMentoring

Posted 2024-10-24

Apply

🔥 Senior Geospatial Machine Learning Engineer

Posted 2024-10-22

📍 United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, Spain, France, Sweden, Canada

🔍 Climate technology

🏢 Company: Overstory

At least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer.
Advanced scientific Python experience, including libraries like numpy, scipy, scikit-learn, pandas.
Experience with geospatial or satellite data, and tools such as gdal, rasterio, shapely, fiona, geopandas, QGIS.
Experience with deep learning algorithms, particularly in geospatial contexts, using tools like pytorch and tensorflow.
Experience in leading small teams organized around projects or initiatives.
Passion for climate issues.
Enjoy working in a remote-first, fast-paced environment.

Develop new vegetation intelligence products using geospatial Python libraries and machine learning tools.
Support existing products through data exploration, model improvements, and bug fixes.
Lead projects and initiatives, ensuring the value of contributions is communicated to stakeholders.
Build tooling and processes to measure the value and performance of contributions.

LeadershipPythonMachine LearningNumpyPyTorchAlgorithmsGrafanaPandasTensorflowCollaboration

Posted 2024-10-22

Apply

🔥 Machine Learning Engineer (Virtual Agents)

Posted 2024-10-21

📍 US, Canada

🔍 AI and Machine Learning

🏢 Company: Cresta

Bachelor's Degree in Computer Science, Mathematics, or related field, or equivalent professional experience.
3+ years of hands-on industry experience with AI and machine learning, preferably 1+ years of hands-on experience in working with LLMs in production environments.
Strong knowledge of basic machine learning concepts and methods, especially those related to NLP and GenAI.
Practical knowledge and expertise in modern machine learning frameworks and technologies (e.g. PyTorch, Tensorflow, Hugging Face, NumPy).
Strong problem-solving abilities, ability to work collaboratively with cross-functional teams and a passion for bringing AI solutions into real-world use.

Design, develop, and deploy Cresta’s AI Agent solutions and proprietary models.
Focus on practical AI challenges such as improving reasoning, planning capabilities, and evaluation in real-world scenarios.
Collaborate with cross-functional teams including front-end and back-end software engineers to integrate AI Agents into Cresta’s customer solutions.
Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases.
Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s AI Agents.
Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems.

Machine LearningNumpyPyTorchTensorflowProblem Solving

Posted 2024-10-21

Apply

🔥 Staff Machine Learning Engineer, Fakespot

Posted 2024-10-16

📍 Canada

🧭 Full-Time

💸 160000 - 242000 CAD per year

🔍 Technology and Internet

🏢 Company: Mozilla

A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience.
A minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientist.
Knowledge of and expertise in Natural Language Processing (NLP).
Proficiency in a data query language (e.g., SQL) and a programming language (e.g., Python).
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring.
Being an excellent team player with a proven ability to work effectively in cross-functional teams.
Ability to be self-directed after work is assigned and help less experienced team members get unblocked.

Apply statistical and machine learning techniques to process and analyze unstructured textual data.
Develop and finetune machine learning models for tasks such as entity recognition, classification, and text generation.
Utilize pretrained language models (e.g., GPT, LLAMA) and adapt them for specific use cases.
Optimize models for production usage, including considerations for scalability, latency, and resource.
Monitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessary.
Work closely with interdisciplinary teams to deliver high-quality features and solutions.
Stay current with advancements in NLP research, methodologies, and best practices.
Be consistently productive and operate with a high degree of autonomy.

PythonSQLMachine LearningCollaboration

Posted 2024-10-16

Apply

🔥 Senior Machine Learning Engineer - Platform

Posted 2024-10-16

📍 Canada

🧭 Full-Time

💸 185500 CAD per year

🔍 Cryptocurrency and Blockchain

🏢 Company: Coinbase Careers Page

Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees.
Working knowledge in data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
Exhibit core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
PhD degree strongly preferred with 3+ years of relevant experience or MS degree with 5+ years.
Experience with Python, data analysis, and visualization is a plus.

Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks.
Address challenges in fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase.

Machine Learning

Posted 2024-10-16

Apply

Machine Learning Engineer

Requirements:

Responsibilities:

Related Jobs

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities

🔧 Requirements

💡 Responsibilities