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Smartverify
8+ ansCandidates need 8+ years of backend engineering experience focused on distributed systems, infrastructure or platform work, and experience building systems that manage other systems. Strong Go and Python skills, cloud and container experience, and comfort shipping pragmatic architecture decisions are required.
Kubernetes, Docker, Terraform, AWS EKS, AWS Lambda, Kafka
EXFO Inc.
5+ ansMaîtrise ou doctorat en IA, ou expérience équivalente; 5+ ans de conception et d'évaluation de modèles AI/ML en contexte réel; Maîtrise de PyTorch, TensorFlow et Git
PyTorch, TensorFlow, Git, AWS SageMaker, AWS Bedrock, Azure ML
TripleLift
5+ ansCandidates need at least five years of data science or machine learning experience and two years building models in programmatic advertising. Strong statistics, deep learning and hands-on TensorFlow or PyTorch skills are required, plus experience monitoring models with Prometheus and Grafana.
Python, Spark, Airflow, Databricks, ONNX, Docker
Sony Interactive Entertainment (SIE)
5+ ansSony Interactive Entertainment needs a candidate with 5+ years as an SDET or QE engineer on backend and distributed systems, plus a Bachelor's degree in Computer Science or equivalent. Candidates must know Python, Java or similar, automation frameworks, CI/CD and cloud or container tools, and have used LLMs for test generation.
Jenkins, GitHub Actions, Docker, Kubernetes, AWS, GCP
Perimeter Medical Imaging AI: Perimeter Medical Imaging AI is a pioneering medical technology company driven to transform cancer surgery with advanced imaging tools.
3+ ansCandidates need 3+ years of production software engineering and 3+ years in a medical device QMS or similarly regulated environment. Strong Python and C++ skills, automated testing and Git/Docker experience are required.
Python, C++, Qt, Git, Docker, PyTorch
PlayStation Global: Sony Interactive Entertainment, the company behind PlayStation, pushes the boundaries of entertainment and innovation, starting from the launch of…
5+ ansCandidates need a bachelor's degree in computer science or equivalent and 5+ years of experience as an SDET or QE engineer on backend and distributed systems. They must have hands-on experience with automation in Python, Java or JavaScript, testing REST APIs and microservices, CI/CD pipelines, and cloud and container technologies.
pytest, JUnit, Selenium, Playwright, Cypress, Appium
Function Health
6+ ansCandidates need at least 1 year building agentic AI systems and 6 years as a full-stack or ML engineer, with production Python or Go experience. Strong skills in LLM tooling, retrieval, PostgreSQL, observability, and cloud deployment are expected.
LangGraph, PydanticAI, DSPy, LlamaIndex, FastAPI, Flask
Function Health
1+ ansCandidates need a PhD in machine learning, computer science or a related field with 1-2 years of experience, or an MS or BS with 5+ years building models on real data. Strong Python and PyTorch, depth in longitudinal, self-supervised or multimodal modelling, and rigorous evaluation skills are required.
PyTorch, Python
Boson AI
Candidates must be enrolled in the University of Toronto MScAC program and available for the full 8-month term. They need strong Python, solid machine learning and PyTorch or JAX experience, and C++, CUDA or Triton for systems projects.
PyTorch, JAX, CUDA, Triton, Python, SGLang
Carbon60
7+ ansCandidates need 7+ years in public cloud (AWS preferred), 5+ years coding in Python, Java or Scala, and experience building data pipelines, data warehouses, lakes and streaming systems. Customer-facing consulting experience is required.
AWS, Snowflake, Databricks, Kafka, Kinesis, Tableau
Propel Holdings
3+ ansCandidates need a quantitative bachelor's degree and at least three years of hands-on Python for production-quality code. They also need SQL, ETL or data pipeline experience, and an understanding of the machine learning data lifecycle.
Python, SQL, pandas, NumPy, scikit-learn, tsfresh
1Password
5+ ansCandidates need 5+ years of analytics experience in complex B2B SaaS, ideally product-led, with strong PLG and customer lifecycle expertise. They need advanced SQL, experience with Snowflake, Databricks or dbt, Salesforce and a CS platform like Gainsight, and hands-on use of modern AI/BI tools.
SQL, Snowflake, Databricks, dbt, Salesforce, Gainsight
1Password
Candidates need a willingness to take on challenges, humility to learn from mistakes, curiosity about better ways of working, and teamwork. Bonus experience includes writing detailed requirements, general technology and AI tools, Pragmatic Marketing or other product frameworks, and using password managers.
Pragmatic Marketing, AI tools, password manager
Novarc Technologies Inc: Novarc Technologies is a full-stack robotics company specializing in the design and manufacturing of cobots and AI systems for robotic welding…
Candidates need deep knowledge of computer vision and machine learning, including neural networks. Strong Python and C++ skills, experience with PyTorch, TensorFlow, and OpenCV, and solid software development practices are required.
PyTorch, TensorFlow, Keras, OpenCV, Git
GE Vernova: GE Vernova is a purpose-built energy technology company on a mission to electrify to thrive and decarbonize the world.
7+ ansCandidates need a technical degree, at least 7 years of software engineering or AI/ML experience, and hands-on experience architecting generative and agentic AI on AWS, Azure or Google Cloud. Strong Python skills, MLOps and cloud deployment experience are also expected.
AWS SageMaker, Azure Machine Learning, Google Vertex AI, Docker, Kubernetes, GE GridNode
Scribd, Inc.
5+ ansCandidates need 5+ years as a professional ML or software engineer, with production recommender systems experience, large-scale data processing and online experiment design. A Bachelor's or Master's in Computer Science or equivalent experience is required.
Python, Spark, Databricks, BigQuery, Kubernetes, Vertex AI
21 entreprises