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:

• 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

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

Responsibilities:

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

Benefits:

• Equity

Education Requirements:

• BS or MS degree in CS, AI, or applied math

Experience Requirements:

• 5+ years of experience building AI/ML based products in NLP domains

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Identify user needs for AI/ML solutions

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Equity

Education Requirements:

• 5+ years of industry experience in NLP

Experience Requirements:

• 5+ years of industry experience in NLP

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

• Deep expertise in NLP and model training, specifically with LLMs

• Proven experience adapting open-source generative models

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Pioneer the training of new models

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• 100% covered medical/dental/vision for employees

• 15 days annual PTO plus holidays

• 401k matching

Education Requirements:

• PhD in related field, or equivalent industry experience

Experience Requirements:

• Prior key contributor to significant deep learning projects for image enhancement or image processing

• Significant prior experience with CNNs and other common computer vision network architectures

• 2 years of hands-on experience with TensorFlow or PyTorch

• Good understanding of common image processing algorithms

• Working knowledge of C/C++

Responsibilities:

• explore and develop new deep learning models to solve inverse problems in imaging

• evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage

Benefits:

• 100% covered medical/dental/vision for employees

• 15 days annual PTO

• 5 personal days plus holidays

• 401k matching

Education Requirements:

• PhD in related field or equivalent industry experience

Experience Requirements:

• Significant research on GAN or diffusion models for image/video enhancement, image processing, or image editing

• Experience with model distillation, quantization, and pruning

• 2+ years of hands-on experience with PyTorch, expert level at python

• Working knowledge of C/C++

Responsibilities:

• explore and develop GAN and diffusion-based generative AI technologies in the image and video domain

• improve inference and memory efficiency while retaining performance

Benefits:

• Fully Remote Working Environment

• Unlimited Paid Leaves

• Co-working Allowance

• Medical Insurance

• Grow & Learn by Getting Things Done

Experience Requirements:

• Min experience in Market Research (2 years - preferably quantitative) or Min experience in Research (4 years - preferably quantitative)

Other Requirements:

• Research Design

• Data Analysis

• Technical Writing

• Project Management

• Relationship management

• Communication & interpersonal skills

• Problem solving

• Fluency in English

• Teaching experience (a plus)

• Experience working in a research agency (a plus)

• Startup experience (a plus)

• Basic knowledge working with CRM (preferably Hubspot) (a plus)

• Experience with research or data analytics software (a plus)

• Academic qualifications that cover quantitative research, with qualitative research being an added bonus (a plus)

• Fluency in Malay or Mandarin (a plus)

Responsibilities:

• Ensuring clients are successful in achieving their research objectives by guiding them through research design and data analysis that will provide them accurate and actionable data.

• Providing in-person, written and in-app guidance to clients, enabling them to conduct their research independently.

• Developing systems and processes to maintain and track client satisfaction, providing them with helpful guidance in a timely manner.

• Building & maintaining relationships with past and current clients, to enable us to better identify and be able to assist with their future research needs.

Benefits:

• competitive salary and benefits package

• opportunity to work on cutting-edge AI projects

• collaborative and supportive work environment

• opportunity to participate in conferences and workshops

• opportunity to participate in Tech Talks (internal training and seminar sessions)

Experience Requirements:

• minimum of 4 years of experience in data science

Other Requirements:

• Skilled in Python with strong familiarity with data science libraries like NumPy, pandas, and scikit-learn

• Proficient in SQL for effective data management and querying

• Strong skills in creating data visualizations

• Excellent written and verbal communication skills

• Excellent problem-solving capabilities

Responsibilities:

• Develop and implement scalable models and analytics solutions to address real-world challenges

• Translate business requirements into data-driven insights and actionable goals

• Optimize data pipelines to enhance data processing and analysis capabilities

• Design automated processes for data analysis and report generation

• Ensure seamless integration of data solutions within client environments

Benefits:

• Profit Sharing

• Generous PTO

• Work from Anywhere

• Advanced Training

• Modern Tech

Benefits:

• Competitive salary based on your experience

• You may work at our office (Luxembourg, Romania, France/Paris), or even from home

• Full coverage of operational costs

• Full-time employment

Education Requirements:

• Bachelor or Master Degree in Computer Science, Mathematics, Statistics, Artificial Intelligence, Data Science, Machine Learning or related fields required

• Graduated AI, Data Science, ML, NLP, Statistics courses are considered to be a plus

Experience Requirements:

• Experience with Machine Learning and NLP, and with developing production ML and / or NLP systems

Other Requirements:

• Proficiency with the Python programming language (minimum 4 years)

• Proficiency with Python and basic libraries for machine learning and data manipulation such as scikit-learn and pandas

• Proficiency with NLP tools and libraries such as NLTK, spaCy, fastText

• Proficiency with SQL

Responsibilities:

• Using ML and NLP techniques to develop new application components or to improve the existing ones

• Integrate the developed application features with the rest of the application

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress

• Managing available resources such as hardware, data, and personnel so that deadlines are met

Benefits:

• Equity

• Competitive pay

• Parental leave

• Home office allowance

• 401K (U.S.-based team members only) High-quality medical & vision insurance (U.S.-based team members only)