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Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance
Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals
5+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow - must
Strong analytical skills, a sense of ownership, and the ability to work collaboratively

Requirements:
M.Sc. in Mathematics, Physics, or Computer Science.
4+ years of experience in algorithm development, with proven expertise in Computer Vision, multi-view geometry, or 3D perception.
Experience leading teams and collaborating in complex, cross-functional environments.
Background in SLAM, optimization, calibration, and ego-motion - an advantage.
Strong analytical and problem-solving skills with the ability to balance technical excellence and business priorities.
Proficiency in Python.

Requirements:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
3+ years of industry experience in Deep Learning and Computer Vision.
Excellent proficiency in Python and PyTorch.
Strong problem-solving, research, and analytical thinking skills.
Advantages:
Experience with Generative AI methods (Diffusion Models, GANs, etc.).
Experience with Vision-Language Models (VLMs) and Multi-modal learning.
Publications in top-tier conferences (CVPR, NeurIPS, ECCV, etc.).
Experience with Linux, AWS, Docker, and virtual environments.
Knowledge of classic computer vision.

Requirements:
M.Sc. or PhD student in Computer Science or a closely related discipline
Top-ranked student at a leading university
2+ years of hands-on experience developing deep learning algorithms in Python
Experience building end-to-end deep learning pipelines, including data preparation, training, validation and deployment- Proficiency with deep learning frameworks such as PyTorch or TensorFlow
Strong analytical and problem-solving skills
Advantages:
PhD student in Computer Science or a related discipline
Experience with cloud computing platforms (e.g., AWS)
Experience implementing lightweight, hardware-aware deep neural networks

Requirements:
5+ years of experience in algorithm development
Outstanding MSc graduate in Computer Science, Computer Engineering, Mathematics, or Physics.
PhD- advantage.
Strong coding skills in C++ and Python.
Outstanding mathematical capabilities
Capable of self-learning scientific articles.

Requirements:
5+ years of experience as a Data Engineer in production environments
Strong Python expertise
Hands-on experience with Spark, Polars, Pandas, DuckDB, AWS
Proven experience designing distributed data architectures
Strong understanding of data performance, I/O, and scalability
Experience working with ML or inference pipelines

Requirements:
BSc in Computer Science, Electrical Engineering, Mathematics or Physics
Advanced degree (M.Sc. or Ph.D.)- an advantage
5+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).
Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.

Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field
5+ years of hands-on experience in Machine Learning / Deep Learning research and development
Strong proficiency with PyTorch or TensorFlow and practical experience building and optimizing deep neural networks
Experience working with cloud environments (e.g., AWS) - including data handling, distributed training, or running large-scale batch jobs
Proven ability to work both independently and collaboratively, supporting others and leading technical investigations
Excellent analytical skills, creativity, and a drive to push the limits of applied research

Requirements:
Who You Are (Success Profile)
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to whats needed, navigating seamlessly between high-level strategy and hands-on execution.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
What Were Looking for (Minimum Qualifications)
A minimum of 5 years of hands-on professional experience in DevOps, Systems Integration, Network Automation, or closely related technical domains within a cloud environment
Robust knowledge and operational experience in designing, building, and maintaining automated CI/CD pipelines and large-scale infrastructure automation frameworks
Expert-level proficiency in object-oriented programming with Python, alongside proven expertise in shell scripting and leveraging industry-standard automation tools like Ansible or Terraform
Practical experience with containerization technologies such as Docker and fundamental knowledge of container orchestration concepts like Kubernetes
Experience working with and managing resources on major public cloud platforms, such as AWS, Azure, or GCP
What Will Make You Stand Out (Preferred Qualifications)
Deep understanding and practical familiarity with core network services architecture, particularly DNS, and related networking protocols
Knowledge of and practical interest in cutting-edge technologies like Generative AI and Prompt Engineering, specifically how they can be applied to enhance operations and automation
Professional, hands-on experience utilizing and developing with Temporal or other complex distributed workflow manager solutions.