Benefits:

• Medical Insurance

• Pension

• Flexi-working

• Share Options

Experience Requirements:

• Mid to Senior

Responsibilities:

• Delivering AI/ML solutions

• Working with clients

• Improving the Kortical platform

Benefits:

• Engaged team

• Summits

• Growth opportunities

• Work-life balance

• Hybrid working policy (Office-first, flexible approach)

Experience Requirements:

• Passionate about data and algorithms

• Problem-solving mindset

• Excellent task management and self-leadership

• Strong foundation in Python, SQL, Databricks, and Azure

Other Requirements:

• User-centric approach

• Collaborative and humble team player

Responsibilities:

• Design algorithms and machine learning models

• Develop targeting features

• Solve challenges related to segmentation and predictive analytics

Benefits:

• A comfortable and relaxed working atmosphere in a small, enthusiastic, young team

• Salary according to industry expectations, constantly re-evaluated while you learn and gain more experience

• Flexible working hours

• Work from home and occasional remote work

• A chance for further professional development through research, practical applications and knowledge sharing with co-workers

Education Requirements:

• Bachelor/Master of Mathematics, Statistics, Computer Science or similar technical/quantitive field

Experience Requirements:

• 1-2 year experience at an analytics/data science position

Other Requirements:

• Good knowledge of mathematics, statistical modelling and basic understanding of machine learning principals and algorithams

• Experience in programming, preferably R and python, or similar languages

• Basic knowledge of databases and SQL

• Good knowledge of written/spoken english

• basic knowledge and experience using Git

• experience with online marketing platforms

Responsibilities:

• developing and improving mathematical / machine learning models for solving specific e-commerce problems

• implementation of models (in R and python)

• education in online advertising and possibly working directly with e-commerce customers in order to better understand their needs

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:

• 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:

• 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:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 8+ years of industry experience as a data scientist. For PhD degree holders, the minimum years of required experience as a data scientist is 6 years.

• 1+ years of management experience

Other Requirements:

• You have strong business sense, and are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.

• You are familiar with BI visualization tools such as Sigma, Metabase, Tableau or Looker.

• You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).

• You are proficient in Python.

• You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.

• You are strong at statistics. You have experience in applying these skills into tangible improvements in products, internal tools and processes using A/B testing and non-experimental methods.

• You are concise and precise in written and verbal communication. Technical documentation is your strong suit.

Responsibilities:

• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.

• Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.

• Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user growth and engagement.