AI Jobs

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.

Responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale.

• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.

• Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.

Education Requirements:

• Degree in CS, ME, EE, Mechatronics or related field.

Experience Requirements:

• 3+ years experience developing safety critical embedded systems.

• 5+ years experience in automotive systems development or similar

Responsibilities:

• Work in coordination with global engineering teams to define vehicle-level self-driving requirements.

• Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces.

• Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features.

• Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features.

Education Requirements:

• Masters Degree in Computer Science, Mechatronics, Electrical Engineering, or a related field.

Experience Requirements:

• At least 3 years of hands-on experience in RTOS, including AUTOSAR and FreeRTOS.

Responsibilities:

• Implement requirements and designs for automotive software components related to communication, diagnostics, cybersecurity, operating systems, or bootloaders or AUTOSAR.

• Work in RTOS, linux kernel, and C/C++ SW stack layers responsible for our functional safety and security concept.

• Integrate RTOS components, conduct profiling, tracing, and systematic error analysis.

• Configure, generate, and integrate AUTOSAR modules on different microcontroller platforms.

Education Requirements:

• MS (with 5+ years of relevant experience) or PhD (with 2+ years) in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.

Experience Requirements:

• Extensive experience applying deep learning techniques to time series forecasting and data analysis.

• Strong understanding of conventional vehicle dynamics modeling.

Responsibilities:

• Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.

• Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.

• Integrate the data-driven models into simulation pipelines with seamless compatibility.

• Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.

Education Requirements:

• MS or PhD in Computer Science or equivalent practical experience

Experience Requirements:

• 7-10 years of experience building data-driven, fault-tolerant systems

• Proven record of delivering a DL based system

Responsibilities:

• Develop safety-critical software for self-driving vehicles by leading, managing, and expanding a team focused on the motion forecasting & planning.

• Assume responsibility for the overall planning, execution, and success of autonomous driving related projects Actively code and develop prototypes to test novel algorithms and ideas.

• Foster a culture of experimentation and innovation, while promoting technical excellence and accountability within the team.

Education Requirements:

• BS, MS, or PhD in Software, Robotics, or related field

Experience Requirements:

• 4+ years of machine learning engineering experience for robotics applications

Responsibilities:

• Use complex map and perception sensor output to develop novel deep learning models for our planning stack.

• Design critical safety checks to ensure driving trajectories are feasible and follow rules of road.

• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments.

• Track and incorporate the latest multidisciplinary research advancements in a fast-moving field.

Education Requirements:

• MS or PhD in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience

Responsibilities:

• Develop 3D visual reconstruction of highway and urban driving scenarios including static scenes and dynamic objects

• Identify unique and high-value driving scenes to maximize data labeling efficiency, class distribution imbalance (long-tail) challenges in autonomous driving

• Develop a distributed and automated pipeline for large scale scene reconstruction and automatic label generation

• Curate high-quality dataset for autonomous driving scenarios and design robust evaluation metrics

Education Requirements:

• BS/MS/PhD in Computer Science, Computer Engineering, Electrical Engineering or related fields

Experience Requirements:

• 3+ years of industry experience

• Experience with AI inference computing optimization, quantization, model pruning techniques

Responsibilities:

• Deploy, optimize and accelerate machine learning models on various computing platforms from e.g. Nvidia, TI, Ambarella etc

• Implement compiler support to maximize inference performance

Experience Requirements:

• Experience with multi-modal detection fusion and tracking algorithms

• Strong understanding of computer vision and perception systems

Responsibilities:

• Design and implement detection fusion and tracking algorithms to improve perception performance in real time and offline pseudo-label generation using a combination of camera, radar and lidar data

• Benchmark and evaluate perception performance using quantitative metrics and testing methodologies

• Identify, troubleshoot, and resolve real-world perception issues encountered in autonomous driving scenarios

Benefits:

• Health, vision, and dental benefits

• Unlimited vacation

• Frequent team meet-ups in different parts of the world

• Equity options

Experience Requirements:

• Senior level experience with Python

• Senior level experience with backend Cloud services and Dev Ops

• Experience with deploying and serving of ML modes for inference

• Infrastructure as Code (IAC), Distributed Service Deployment, CI/CD, Docker

• Understands how to identify and fix performance bottlenecks

Other Requirements:

• Audio and FFMpeg experience

• ML experience

• Nvidia Triton Server, Kubernetes

• NodeJS, Javascript, Typescript

• RDS, Elasticache, PostgreSQL, Redis

• AWS CDK, ExpressJS, FastifyJS, Prisma JS, React

• Github Actions, AWS, DataDog

Responsibilities:

• Working with research team to deploy and optimize new ML models and architectures

• Update our python logic to improve our processing performance to work at scale

• Improve our processing pipeline to improve speed and reliability

• Inspecting and debugging Python code

• Improving our current backend and infrastructure code built with Python and NodeJS/Typescript languages Utilize the AWS CDK to update and maintain our cloud infrastructure Assist with efforts to deploy new infrastructure for new services Dynamically create and maintain our systems architectures in AWS via code using AWS libraries (Python and Javascript) Assist with brainstorming, writing documentation, and creating diagrams for our new architectural changes Help to maintain and improve the security and reliability of our services and ensure good engineering practices in compliance with our security policies

Benefits:

• A competitive salary

• 5 weeks of vacation

• A pension plan

• Choice of computer equipment and mobile device

• Flexible working hours Gym membership Cantina with subsidized lunch Monthly social events We’re located at StartupLab

Experience Requirements:

• 3+ years of professional experience working as a software engineer

• Proficiency in web technologies such as HTML, CSS, Javascript/TypeScript and web frameworks like React, Vue or similar

• Proficiency working with backend APIs and web-services

• Proficiency in PostgresSQL or similar relational database technologies

• Proficiency in principles of CI/CD, testing, Git/version control and code quality Proficiency in cloud services like Azure, AWS, Google Cloud or other similar cloud services Fluent in English, both written and verbally

Other Requirements:

• We prioritize candidates that have the right to work in Norway and that are willing to relocate to Oslo.

Responsibilities:

• Develop and maintain the front-end and back-end services of our application

• Interact with users to understand their needs and inform the development direction of the product

• Design and deliver intuitive and user-friendly application experiences

• Take a user-centric approach to development, putting yourself in the position of the user to drive product growth and improvement

Benefits:

• A competitive salary

• 5 weeks of vacation

• A pension plan

• Choice of computer equipment and mobile device

• Flexible working hours Gym membership Cantina with subsidized lunch Monthly social events We’re located at StartupLab

Experience Requirements:

• 3+ years of professional experience working with ML, deep learning and image generation

• Proficient in Python and ML libraries like Tensorflow or Pytorch

• Experience working with Diffusers, Transformers and other popular libraries in the image generation space

Other Requirements:

• We prioritize candidates that have the right to work in Norway and that are willing to relocate to Oslo.

Responsibilities:

• Develop and refine advanced machine learning models for image generation

• Implement and maintain simple pipelines for training and deployment of ML models

• Train and fine-tune latent diffusion models and other conditional models

• Curating, evaluating and managing image training datasets

• Keep up-to-date with relevant research and novel methods being released Work together with the product team to integrate ML features into the product Talk with users to understand their needs and turn those findings into concrete features

Education Requirements:

• Bachelor’s degree in Computer Science, AI, Linguistics, or a related field (or equivalent experience).

Experience Requirements:

• Proficient in AI technologies with a strong grasp of natural language processing.

• Creative thinker with an eye for design and a passion for art.

• Excellent problem-solving skills and the ability to think outside the box.

• Experience in a collaborative tech environment, with a knack for clear communication.

Responsibilities:

• Design and optimize prompts that guide our AI in generating breathtaking visual content.

• Collaborate with our AI and creative teams to refine algorithms that understand and interpret artistic instructions.

• Conduct research and experiments to enhance the intuitiveness and effectiveness of AI-generated images.

• Be a part of a creative ecosystem, contributing to a tool that empowers artists and content creators worldwide.

Experience Requirements:

• Strong Python skills, including Pandas

• Solid Foundation of programming, algorithms, and computer basics, good coding style, strong hands-on ability

• Familiar with Stable Diffusion

• Development and deployment of ETL, data engineering, APIs, and scraping

• Database: SQL, NoSQL (MongoDB), ORM Basic DevOps with experience in AWS Familiar with git, have experience with CI/CD Familiar with Linux Familiar with Docker Bonus: Machine Learning, Statistics, Deep Learning Bonus: Graph theory

Benefits:

• 🌎 Distributed team

• ⏰ Async

• 🏖 Unlimited vacation

• 👀 No monitoring system

• 🚫 No politics at work

Experience Requirements:

• Extensive knowledge of Python, diffusers, Cog, and Replicate.

• A balance of software engineering and machine learning skills.

• You can squeeze every last drop of performance out of a GPU.

• Ideally, you're involved in the generative AI community and familiar with diffusion models and similar techniques.

• You don't need a PhD or know how to build new architectures from scratch.

Responsibilities:

• Optimizing our existing headshot generation pipeline code to be as photorealistic as possible.

• Experiment with Dreambooth and all variables like user uploads, training steps, etc.

• Implementing new image-gen pipelines like LoRa.

• General code and speed improvements.

• Experimenting with newly published models and how these could be utilized.

Experience Requirements:

• Proven experience as an iOS Developer with a strong portfolio of iOS applications.

• Proficiency in Swift and a deep understanding of iOS frameworks.

• Strong knowledge of iOS design principles, patterns, and best practices.

• Familiarity with RESTful APIs and integrating them into iOS applications.

• Solid understanding of memory management, multithreading, and networking in iOS applications.

Responsibilities:

• Collaborate closely with our product and design teams to understand requirements and translate them into functional and visually appealing iOS applications.

• Develop and maintain high-quality iOS applications using Swift and the latest iOS frameworks.

• Optimize application performance and ensure a smooth user experience by implementing efficient algorithms and techniques.

• Identify and resolve bugs, performance issues, and bottlenecks promptly.

• Conduct thorough testing to ensure the reliability, stability, and compatibility of the application.

Experience Requirements:

• Proven track record of working with large-scale LLM and Deep Learning systems

• Strong programming skills, with a preference for versatile individuals

Responsibilities:

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs

• Scale and distribute LLM training infrastructure to maximize efficiency

• Optimize evaluation pipelines to ensure accuracy and reliability

• Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime

• Continuously improve LLM performance and accuracy

Experience Requirements:

• - Llama2 familiarity

• - Hugging-face

• - AI prompting

• - AI fine-tuning