Benefits:

• $150K - $300K

• 0.25% - 5.00% equity

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• 5-8yrs

Experience Requirements:

• At least 2 years’ experience in a Credit Risk analytical role

Other Requirements:

• Expertise in credit risk management for revolving / non revolving products

• Prior experience of working with at least one of the 3 major US credit bureaus

• Strong analytical skills to understand the business process needs and translate them to system requirement specifications

• Proficiency with one or more database querying tools (SQL, R, Python)

• Proficiency with analytical tools and visualization software (e.g., Excel, Tableau, MongoDB)

• Attention to detail and quality of the deliverables and a growth mindset

Responsibilities:

• Design tools and monitor the credit performance on client’s portfolios and intervene as needed

• Identify common risks and possible solutions across Scienaptic’s clients

• Develop insights to inform strategy improvements and new product use cases

• Become the resident SME for Scienaptic’s solution and optimal strategic use

Experience Requirements:

• Experience in qualitative and/or quantitative research, ideally within marking, brand consulting or strategy

Other Requirements:

• Clear writing

• Strong analytical skills with the ability to translate data into meaningful insights

• Excellent communication skills

• Creativity and strategic thinking in designing research methodologies

• Collaborative, growth mindset

• Diverse lived experiences that help us deeper and broaden our lens on the world

Responsibilities:

• Conduct comprehensive qualitative and/or quantitative research studies for leading brands and organizations on a project-by-project basis

• Analyze data to generate actionable insights and strategic recommendations

• Writer clearly and simply

• Present actionable, easy-to-understand findings

• Work quickly and efficiently

Benefits:

• Hands-on experience working on real-world projects

• Opportunity to develop skills in product analysis and user research

• Mentorship and guidance from experienced professionals

• Flexible work hours

• Certificate of experience

Education Requirements:

• Currently pursuing a degree in Computer Science or a related field

Other Requirements:

• Strong analytical and research skills with attention to detail

• Excellent written and verbal communication skills

• Ability to work independently and as part of a team

• Previous experience in research, data analysis, or user testing is a plus

Responsibilities:

• Research and Analysis: Conduct market research and analyze data to identify industry trends, user needs, and areas for improvement

• User Testing: Plan and execute user testing, then analyze feedback to provide actionable recommendations for product improvements

• Requirement Gathering: Collaborate with the team to document product requirements and ensure effective communication with the development team

• Documentation and Reporting: Prepare reports and maintain organized documentation of research, user feedback, and project progress

Benefits:

• Hands-on experience working on real-world AI projects

• Mentorship and guidance from experienced professionals

• Flexible work hours

• Certificate of experience

• Stipend (Negotiable)

Education Requirements:

• Currently pursuing a degree in Computer Science or a related field

Other Requirements:

• Strong analytical and research skills with attention to detail

• Excellent written and verbal communication skills

• Ability to work independently and as part of a team

• Previous experience in AI and ML is a plus

Responsibilities:

• Innovation & Trends: Stay updated on AI advancements and contribute new ideas

• Research & Analysis: Conduct market research and analyze data to identify AI trends and opportunities

• Documentation & Reporting: Prepare reports on research findings

• User Testing: Plan and conduct user testing, gather feedback, and suggest improvements

• Requirement Gathering: Assist in documenting and understanding product requirements and user stories

Education Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field

Experience Requirements:

• 2 to 4 years of relevant experience in the field of analytics

Other Requirements:

• Analytical Skills, Data Analytics, and Data Modeling

• Strong communication skills, both written and verbal

• Experience in analyzing and interpreting complex data sets

• Proficiency in data visualization tools and techniques

• Attention to detail and problem-solving abilities

Responsibilities:

• performing day-to-day activities such as data analytics, data modeling, MIS, building dashboards and statistical analysis

• communicate findings and insights to stakeholders and collaborate with the AI team to develop comprehensive solutions

Education Requirements:

• Bachelor’s degree in computer science, Data Science, Statistics or related field

Other Requirements:

• Demonstrated interest in machine learning and artificial intelligence is essential

• Knowledge of statics and probability is a must

Responsibilities:

• Study and transform data science prototypes

• Select appropriate datasets and data representation methods

• Run machine learning tests and experiments

• Research and implement appropriate Machine Learning algorithms and tools

• Develop machine learning applications according to requirements

Benefits:

• Competitive compensation package

• Equity

• Employer-covered health/vision/dental insurance

• 401k matching

• Generous PTO allowance

Education Requirements:

• Strong CS, math, science or similar degree from a leading program

• PhD applicants actively considered

Other Requirements:

• Comfortable using scripting languages, and relational or NoSQL databases

• Familiar with general-purpose machine learning methods

• Passionate about using data to drive strategy and business recommendation

Responsibilities:

• Participating in envisioning, designing, coding, testing and improving algorithms

• Collaborating with software engineers and partner company stakeholders

• Identifying external datasets and developing API or other methods for accessing them

• Designing experiments to answer targeted questions

Benefits:

• 401(k) plans

• Comprehensive Healthcare and Dental Benefits

Education Requirements:

• Ph.D. or Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or equivalent industry experience

Experience Requirements:

• 4+ years of experience working with AI/ML models, specifically in the fields of document understanding, computer vision, and multi-modal learning

• Proven expertise in training and evaluating models for complex document extraction

• Deep NLP Expertise

• OCR Integration

• Model Pretraining and Fine-tuning

Other Requirements:

• Solid programming skills in Python and proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch)

• Layout Analysis

• Benchmarking and Evaluation

• Vision-Language Models

Responsibilities:

• Design, train, and evaluate document understanding models for extracting complex data

• Develop and optimize multi-modal visual Q&A models

• Collaborate with the team to integrate AI-driven features into Tensorlake’s platform

• Work closely with users and customers to understand their needs

Benefits:

• Use state of the art machine learning algorithms and techniques

• Challenging projects

• We are a growing startup with multiple professional development opportunities

• Work on stuff other people only read about

• Excellent work environment, full of highly-motivated and talented young professionals

Experience Requirements:

• Over 3 years of experience in data science and/or machine learning engineer roles

• Knowledge of popular machine learning techniques and algorithms

• Experience in NLP, Computer vision or predictive analytics

• Advanced English

• With good communication skills, proactive and eager to take on new challenges and learn new things

Other Requirements:

• You are a team player and have good interpersonal skills

• Familiarity with scrum or agile methodologies

• Jupyter Notebooks, Google Colab, Python, Tensorflow, SQL, Git

Responsibilities:

• Willing to take ownership of data analysis and machine learning development solutions

• Collaborating with the development team to integrate machine learning solutions into different projects

• Being proactive in proposing new solutions and alternatives, eager to learn new state of the art solutions

• Working with computer vision problems, use latests NLP models, work with latest libraries and frameworks (Tensorflow, Pytorch, etc)

Benefits:

• Challenging projects

• Use state of the art machine learning algorithms and techniques

• Opportunity to join a growing startup with multiple professional development opportunities

• Work on stuff other people only read about

• Excellent work environment, full of highly-motivated and talented young professionals

Education Requirements:

• At least two years of proven experience as a Data Analyst, Business Intelligence Engineer or a similar role

Experience Requirements:

• Excellent proficiency in SQL; experience working in a Data Warehouse is a plus

• Advanced skills in Python

• Experience in data analysis

• Advanced English

Responsibilities:

• Conduct data analysis to provide valuable insights to the teams

• Collaborate in the creation of reports

• Participate in the implementation of new analysis tools and techniques

• Assist in reviewing and ensuring data quality

Benefits:

• Competitive salary, benchmarked against the market and reviewed annually

• Company share programme

• Hybrid and/or flexible work arrangements

• Core benefits of market leading private healthcare, life assurance, critical illness cover, income protection, alongside a company paid health cash plan (including gym discounts)

• A flexible £2,000 (pro-rata) benefits fund to spend on additional benefits of your choice, including tech scheme and cycle to work benefits

Education Requirements:

• Experience with Machine Learning in a research environment.

• Demonstrate proficiency in Python software development skills

• Experience with computer vision and robotics. More specifically object detection, tracking and localization.

• Solid software engineering design principles and up-to-date knowledge of Python best practices

• An ability to understand both technical and commercial requirements.

Responsibilities:

• Researching and developing state of the art pipelines for: analysing deployment domains, route feasibility checks, domain clustering and classification, representation learning and data coverage analysis.

• Researching and developing state of the art techniques and processes for assuring pre- and post-deployment data coverage across the company.

• Responsible for data interpretation, data governance, communicating findings from the validation, and creating dashboards for metrics management.

• Keeping up with the latest advances in computer vision and tracking research and applying relevant techniques to Oxa MetaDriver

• Contributing to the development tools and processes to support a common testing framework across the company, acquisition of data, ML frameworks and commercial operations

Benefits:

• Exciting role in a fast-growing startup

• Work across countries, follow EU expansion

• Ownership and career growth opportunities

• Competitive salary with benefits

• Young, hands-on teamAutonomy to define your success pathCelebratory parties, snacks, and drinksFlexible work: remote or officeSpacious offices (with a PlayStation)Pancake Wednesdays and monthly team activitiesFootball Table and Beer hourYearly Team Retreat for bonding

Education Requirements:

• you have a bachelor’s or master’s degree in computer science or related field

Other Requirements:

• fluent in python

• fluent in developing with databases (MySQL)

• knowledge of Git and Linux

• you speak fluent Dutch and/or English

• hands-on attitude and comfortable in a fast-moving start-up environment

• experience with data collection and processing is a plus

Responsibilities:

• Transport mode algorithm improvements

• Proactive recommendations

Experience Requirements:

• Significant experience deploying and securing production AI/ML infrastructure

• Deep understanding of popular security posture management tools and practices

• Strong familiarity with AI/ML concepts

• Previous experience in security services setup or at a large SaaS security company is highly desirable

Responsibilities:

• Work directly with customers to assess and enhance their AI/ML security posture

• Design and implement architectural patterns and proof of concepts

• Collaborate with cross-functional teams

Experience Requirements:

• Deep domain knowledge in LLM safety and/or evaluation techniques

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Comfortability with leading end-to-end projects and collaborating with researchers and engineers

• Adaptability and flexibility

Responsibilities:

• Work at the intersection of ML and Engineering

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams

Experience Requirements:

• Domain knowledge in LLM evaluation and data curation techniques

• Extensive experience in designing and implementing LLM benchmarking

• Adaptability and flexibility

Responsibilities:

• Own LLM evaluation processes and methods

• Generate high quality synthetic data, curate labels, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing methods for benchmarking

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in privacy-preserving ML

• Practical experience in techniques to attack or defend ML models

• Extensive experience in implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an ML privacy vertical

• Collaborate with our engineering team to deliver real-world applications

• Generate high quality synthetic training data, train LLMs, and conduct rigorous evaluation and benchmarking

Experience Requirements:

• Deep domain knowledge in LLM safety techniques

• Extensive experience in designing, training, and implementing multiple different types of LLM models and architectures

• Adaptability and flexibility

Responsibilities:

• Own an LLM vertical with a focus on a specific safety domain

• Generate high quality synthetic data, train LLMs, and conduct rigorous benchmarking

• Deliver robust, scalable, and reproducible production code

• Push the envelope by developing novel techniques and research

• Co-author papers, patents, and presentations

Experience Requirements:

• Deep domain knowledge in Natural Language Processing

• Extensive experience in designing, implementing, and maintaining production-ready ML code

• Past experience in leading an end-to-end NLP feature

• Adaptability and flexibility

Responsibilities:

• Be responsible of a vertical for Dynamo AI’s state-of-the-art safety guardrails

• Perform rigorous testing of the product features

• Push the envelope by implementing novel techniques

• Work closely with our policy, product, and engineering teams