Benefits:

• Private healthcare

• Mental health resources

• Competitive compensation

• Paid time off

• Community and socials

Responsibilities:

• work on our deep generative models, e.g., GANs, for asset generation

• work on the latest domain adaptation techniques alongside our largest customers

Benefits:

• Full benefits package with zero premium (selected plan levels)

• Interos fit club

• Charity miles events

• On-site gym and dedicated Peloton room at headquarters

• Employee assistance program

Benefits:

• Be heard

• Flexible work hours

• strong team spirit

• Competitive rewards

• Paid lunch

Education Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or related fields

Experience Requirements:

• 3+ years of hands-on experience in AI and data science, with a focus on LLM-based applications and business intelligence

Other Requirements:

• Proven experience in building and fine-tuning LLMs for real-world applications and in extracting business insights from large datasets

• Strong problem-solving skills with experience in transforming business requirements into data-driven solutions

• Proficiency in Python and SQL, along with experience with BI tools such as Power BI, Tableau, or similar platforms

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and transformer architectures

• Familiarity with cloud-based data warehouses, relational databases, and API frameworks

• Ability to communicate complex technical concepts clearly to various audiences

• Self-driven and proactive, with strong organizational skills and attention to detail

Responsibilities:

• Lead the development, fine-tuning, and deployment of LLM-based models and services to solve business problems, ensuring high performance and scalability

• Utilize business intelligence tools and methodologies to uncover key insights from complex datasets, supporting data-driven decision-making

• Collaborate with clients to understand their business needs and translate them into AI solutions, providing BI insights that drive strategic decisions

• Conduct data acquisition, cleaning, and exploratory analysis to support AI and BI objectives, ensuring the highest data quality

• Present complex AI and BI concepts to clients and stakeholders, clearly communicating technical details to both technical and non-technical audiences

Benefits:

• Be heard

• Flexible work hours

• strong team spirit

• Competitive rewards

• Paid lunch

Education Requirements:

• Bachelor's degree or higher in data science, statistics, computer science or related field

Experience Requirements:

• 3+ years of work experience in data analysis, statistical models and machine learning

Other Requirements:

• Proficient in programming languages such as Python, R and SQL

• Experience using data visualization tools (Tableau, PowerBI, Matplotlib, etc.)

• Excellent analytical and problem-solving skills

• Excellent teamwork and communication skills

Responsibilities:

• Extract and analyze insights from large data sets

• Work with machine learning engineers to design, build and evaluate statistical models and machine learning algorithms

• Propose and implement data-driven solutions to business problems

• Present results using data visualization tools and configure BI dashboards

• Work with cross-functional teams to develop and implement data strategies

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 5+ years experience as a Machine Learning Engineer

• 10+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design patteri

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Hands-on experience designing, training, and deploying machine-learning models

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 10+ years experience as a Machine Learning Engineer

• 15+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design pattern

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Experience with REST APIs, server-side API integration, queues and distributed systems

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• Bsc in a relevant field

Experience Requirements:

• 5 years of experience as a data scientist working on tabular data

• Proficient in Python, SQL, and Spark

• Experience in creating measurable value with ml (defining KPI’s, designing AB tests, monitoring)

• Experience with time series

• Experience with AWS / Databricks – advantage

Responsibilities:

• Work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business

• Continuously helping our clients achieve their business goals, and reinforce the value of Pecan’s modules, and the ease of use of our platform

• Handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more

Benefits:

• Remote work

• Team events

• Personal and professional growth

• Private medical insurance

• Learning budget

Benefits:

• Competitive benefits package

• Significant opportunities for professional growth

• Friendly and innovative startup environment

Experience Requirements:

• Minimum of 5 years of experience in research and development

Other Requirements:

• Excellent project management skills with the ability to meet deadlines and prioritize tasks

• Strong written and verbal communication skills

• Proficiency in computer applications such as word processing, spreadsheets, and databases

• Proven ability in data collection, analysis, and interpretation

• Strong problem-solving and critical thinking abilities

Responsibilities:

• Discover new channels and partnerships to advance product development

• Stay informed about industry trends and provide professional insights

• Lead product production strategy to ensure innovation and growth

• Collaborate with various teams, including developers and the product team, to drive innovation

• Effectively communicate research results and experimental protocols to other teams

Education Requirements:

• Master's degree

• PhD in machine learning or ecology

Responsibilities:

• Project management

Benefits:

• Competitive Salary 💸

• Work Remotely 🌎

• Health insurance 🏥

• Unlimited Time Off ⏰

• Support for continual learning (free books and online courses) 📚

Education Requirements:

• A Master's/MS in CS, Machine Learning, or in a highly quantitative field.

• At least two publications, as the first author, in a leading conference or journal related to machine learning

Experience Requirements:

• 4+ years of total Industry experience

• 4+ years of hands-on experience (academic or industrial) in predictive modeling and large data analysis

Responsibilities:

• design and implement a generic ML platform that helps monitor models across modalities in production

• collaborate with the research and development teams to build robust ML and big data monitoring platforms

Benefits:

• Competitive Salary 💸

• Work Remotely 🌎

• Health insurance 🏥

• Unlimited Time Off ⏰

• Support for continual learning (free books and online courses) 📚

Experience Requirements:

• Strong programming skills in Python.

• Working experience with a variety of ML techniques (decision trees, clustering, boosting, bagging, neural networks, etc.)

• Working experience with advanced statistical concepts (outliers, distance, regression, distributions, statistical tests, etc.)

• Hands-on experience with one or more machine learning frameworks - PyTorch, Keras, Tensorflow, XGBoost, and libraries - Pandas, NumPY, Scikit-learn

Responsibilities:

• Work on large-scale machine learning challenges that impact millions of people around the globe

• Research and implement cutting-edge algorithms and implement pipelines that work with massive data sets in real-time

• Implementing fast, scalable solutions with optimal performance day in and out

• Machine-learning being the core of our business, this role will be responsible for all phases of the product development lifecycle

• Evaluate and validate the analyses with statistical methods and explain to people unfamiliar with the domain of data science

Benefits:

• Competitive Compensation

• Learning and Development

• Purpose-Driven Work

• Flexible and Inclusive Environment

Responsibilities:

• Research and development for various fundamental algorithms

• Analyze and interpret healthcare data

• Develop and improve AI models

Benefits:

• Tax-free stipend

• Research training stipend

• Tuition fee waiver

Education Requirements:

• PhD in machine learning or related field

Experience Requirements:

• Good publication record (for Postdoc)

Responsibilities:

• Development of novel inference and computational methods

• Realization of fair and transparent machine learning and computer vision systems

Benefits:

• Tax-free stipend of £18,622 per year

• Research training stipend of £2,000 per year

• Tuition fee waiver

Education Requirements:

• Background in computer science, mathematics, statistics, econometrics, law, or information systems

Responsibilities:

• Research on Responsible AI, AI-Human Coexistence, and AI for Sustainability

Responsibilities:

• Research collaborations in algorithmic fairness and transparency

Education Requirements:

• A master’s or Ph.D. degree in Computer Science or a related field

Experience Requirements:

• Proven experience working as a Machine Learning Engineer, Research Scientist, or a similar role

Other Requirements:

• Experience with tools and frameworks for building machine learning applications

• Strong understanding of machine learning algorithms, statistical models, deep neural networks

• Strong problem solving skills

• Strong engineering mindset and skills

• Excellent communication skills

• Prior knowledge and/or experience in cybersecurity

• Prior knowledge and/or experience in security products and their data

• Prior knowledge and/or experience in open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework

Responsibilities:

• Work with the data integration team to review and design data schema and normalization for integration of third-party security data

• Work with the security team to transform detection use cases and requirements to data science or machine learning problems

• Research and design efficient machine learning algorithms based on security insights and data characteristics for security detection, correlation, and investigation

• Design and implement product features for security detection, correlation, and investigation

• Create necessary processes, tools, metrics to monitor and evaluate the efficacy of detections released to Stellar Cyber’s customers

Benefits:

• Pension contributions

• Health insurance

• Enhanced parental support

• Development opportunities

Benefits:

• Pension contributions

• Health insurance

• Enhanced parental support

• Development opportunities