Responsibilities:

• work alongside researchers on state of the art research on generative models, deep learning, and neural rendering

• making them practical for real world applications

Education Requirements:

• Ph.D. in machine learning or related discipline

Experience Requirements:

• 5+ years' experience developing robust code on larger projects

• Expertise in Python and PyTorch

Other Requirements:

• Extensive publication record in top conferences (NeurIPS, ICML, ICLR, CVPR, etc.)

• Intellectual curiosity and drive to excel

Responsibilities:

• Implement, test, characterize, and refine novel elements of a machine learning architecture

• Continually improve the robustness of our existing code base

• Apply our pipeline to new drug targets

Other Requirements:

• You are able to program in Python, and you are familiar with modern Deep Learning and NLP theory and main techniques, such as Transformers, Named Entity Recognition, word embeddings and text classification

Benefits:

• Opportunity to be part of a world market leader in tackling space debris

• Challenge to help design and develop AI/ML models

• Satisfaction of contributing to the future safety of space

Benefits:

• Fully paid health, dental, and vision insurance for you

• Generous 4% 401k matching for US employees

• Enjoy unlimited PTO and sick time

• Enjoy lunch and dinner daily in our office

• Access to mental health and other resources

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 5+ years of experience working on curating large-scale training datasets for algorithms in domains such as self-driving, robotics, or computer vision

Other Requirements:

• Able to operate effectively in a dynamic research environment as well as scope and deliver projects end-to-end in your domain

• Strong Python experience and some past experience with deep learning frameworks such as PyTorch

• Experience using SQL, Spark, or other tools for processing large amounts of data

• Experience working in large distributed systems

Responsibilities:

• Work closely with researchers to understand model deficiencies and identify novel data sources to improve the model's quality

• Design data acquisition pipelines to acquire, filter, deduplicate, and otherwise productionize pre-training data

• Work with our data annotation operations team to design and implement new data filtering strategies

• Integrate best-of-breed research in topics like self-supervised active learning to improve our data systems at scale

• Lead cutting-edge research initiatives aimed at significantly improving the quality and effectiveness of data used in AI models, with a particular emphasis on video generation applications

Benefits:

• Fully paid health, dental, and vision insurance for you

• Generous 4% 401k matching for US employees

• Enjoy unlimited PTO and sick time

• Enjoy lunch and dinner daily in our office

• Access to mental health and other resources

Education Requirements:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field

Other Requirements:

• Strong publication record in top-tier conferences (e.g., CVPR, ICCV, NeurIPS, ICML) with a focus on generative models, particularly diffusion models

• Extensive experience implementing and optimizing large-scale generative models for image or video tasks

• Deep understanding of state-of-the-art techniques in text-to-image and text-to-video generation

• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow

• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

• Proven ability to work collaboratively in a team environment

Responsibilities:

• Lead research initiatives in advanced diffusion models for text-to-video generation, focusing on improving visual quality, temporal consistency, and semantic fidelity

• Develop and implement state-of-the-art algorithms for translating textual descriptions into dynamic video content

• Design and conduct rigorous experiments to validate new ideas and evaluate model performance

• Collaborate with cross-functional teams to integrate research breakthroughs into our production pipeline

• Stay at the cutting edge of the field by regularly reviewing academic literature and attending top-tier conferences

Benefits:

• Fully paid health, dental, and vision insurance for you

• Generous 4% 401k matching for US employees

• Enjoy unlimited PTO and sick time

• Enjoy lunch and dinner daily in our office

• Access to mental health and other resources

Education Requirements:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field

Other Requirements:

• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR) with a focus on reinforcement learning, alignment, or generative models

• Extensive experience implementing and optimizing large-scale training pipelines using PyTorch

• Deep understanding of reinforcement learning techniques, particularly RLHF

• Experience with distributed training systems and large-scale experiments

• Proven track record in designing and implementing robust evaluation frameworks

• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

• Strong software engineering skills and experience with complex shared codebases

Responsibilities:

• Lead research initiatives in alignment and post-training methods for video generation models, focusing on improved quality, reliability, and adherence to human intent

• Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF) pipelines for video generation models

• Develop robust evaluation frameworks to measure model alignment, safety, and output quality

• Create and optimize data collection pipelines for human feedback and preferences

• Design and conduct experiments to validate alignment techniques and their scaling properties

Benefits:

• Lots of influence and ownership of tech and product

• Greenfield development and use of new tech

• Lean development processes with plenty of focus time

• Time set aside for free exploration and learning

• Flexible hours

Education Requirements:

• Bachelor degree or higher in Computer Science or similar

Experience Requirements:

• At least 5 years working experience

Other Requirements:

• Experience in algorithm programming (Python, JavaScript/TypeScript)

• Experience with AI and ML

Responsibilities:

• Developing and implementing advanced analytics and machine learning techniques

• Training models from a library of floor plans and graphs

• Deploying models on the backend to create generative tools

• Setting up data processing pipelines

Experience Requirements:

• Experience with deep learning and convolutional networks

• Strong theoretical and empirical research background

• Fluency with a deep learning framework and Python

Responsibilities:

• Develop highly scalable classifiers and detectors that solve real-world problems

• Learn and understand a large body of research in deep learning and machine learning

• Participate in cutting-edge research for medical applications of computer vision

Benefits:

• Competitive salary and equity

• Flexible work hours and remote work

• Health and dental benefits

• Opportunity to work on cutting-edge technology in a fast-paced startup environment

• Collaborative and inclusive company culture

Education Requirements:

• PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related field

Experience Requirements:

• Proven experience in designing and developing AI/ML systems, particularly in autonomous AI governance or legal risk assessment

Other Requirements:

• Strong programming skills in Python, or similar languages, and familiarity with training and adapting generative AI systems

• Possess an understanding of data privacy laws, ethical AI principles, and regulatory environments

• Ability to work collaboratively in a dynamic, interdisciplinary team

Responsibilities:

• Design and implement AI systems that train, tune, and govern other AI models

• Develop algorithms and models to assess and mitigate legal risks in AI outputs, focusing on compliance with laws and regulations

• Conduct research on emerging AI technologies and propose innovative solutions to enhance their governability

• Publish findings and represent the company at industry conferences, workshops, and seminars

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• PhD in Machine Learning, Computer Science, or other quantitive field

Experience Requirements:

• 10+ years of experience in machine learning with multiple models deployed in operational settings

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization

• Strong communication, collaboration, and coaching skills

• High proficiency in a procedural programming language (e.g. Python)

• Ability to translate and apply cutting edge research into practical solutions

• Strong leadership and mentorship abilities, with a passion for guiding and developing other team members

Responsibilities:

• Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly

• Build and deploy models in production that tangibly impact the lives of our customers

• Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance

• Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems

• Act as a strategic advisor for leaders across the organization on driving business impact through machine learning

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• Experience building machine learning systems deployed to production

• Industry or research experience in NLP, information retrieval, or entity resolution

Other Requirements:

• Ability to communicate technical ideas or issues in easy-to-understand and actionable terms

• Ability to translate theory and new ideas into practical shippable solutions

• Ability to learn quickly and proactively seek-out opportunities to work cross-functionally and with a diverse group of people

• Someone who thrives on data-driven development and is always looking for ways to analyze and improve with data

• Someone who's looking for new challenges to take their craft to the next level

Responsibilities:

• You will build and deploy machine learning models in production that tangibly impact the lives of our customers

• You will be a strategic partner for leaders across the organization on driving business impact through machine learning

• Build strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points

• Develop methods and algorithms from first principles where necessary as opposed to relying fully on packaged third-party solutions

Responsibilities:

• Be a key member of the data science team, responsible for driving data-driven insights and building advanced analytical models

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years