Education Requirements:

• Ph.D. in Maths, engineering, physics, or computer science degree

• 1+ years of experience in software development

Experience Requirements:

• 1+ years of experience in software development

Other Requirements:

• Deep understanding of time series analysis, regression analysis, probability theory and statistics

• Ability to work under pressure in a continuously evolving environment

• Excellent communication skills

• Proficient in English

Responsibilities:

• Seek patterns in large datasets

• Evaluate, forecast, and simulate investment ideas

• Analyze risk in investment portfolios

• Review, implement, and analyze scientific papers

Benefits:

• Attractive remuneration

• Share option scheme

• Matching pension opportunity

• Travel to our offices

• Work with exciting and supportive team members

Education Requirements:

• Bachelor’s degree in statistics, machine learning, or related discipline

• PhD or Masters in Computer Science/Electrical Engineering or related fields with a focus on Computer Vision

Experience Requirements:

• Experience using frameworks such as Tensorflow, Keras, Pytorch

• Experiences with computer vision project using image classification, object detection, image segmentation and image mask

• Deep understanding of machine learning model hosting for inference and model optimization

• Coding skills in Python, Java or C++

• Ability to work in a fast-paced start-up environment

Other Requirements:

• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis

• Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS

Responsibilities:

• Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions to discover visual and associated textual relationships

• Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation

• Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas to become visible and real

• Measure the impact of your changes and come up with ideas for how to maximize that impact

• Prepare the reporting of data analysed in visual form

Benefits:

• Share scheme

• Company pension

• Office snacks

• Healthcare

Education Requirements:

• A bachelor or above in statistics, computer science, data science or related disciplines

Experience Requirements:

• Minimum 1+ years working experience in a modelling/ analysis/ statistics role

• Not less than 2+ years of solid experience in big data projects

Other Requirements:

• Strong computational background with experience in R, C++, Python and other data and code manipulation methodologies

• Experience using machine learning and deep learning framework such as TensorFlow, Keras, PyTorch etc and proficient with libraries such as numpy, matplotlib, scikit learn etc

• Formal training in big data analysis and knowledge in big data platform

• To be familiar with and hands-on experience on Big Data modelling techniques including logistic regression, decision tree and machine learning

• Positive attitude, good business acumen and can work under tight timeline

Responsibilities:

• Assist Team to develop and maintain NLP, computer vision and speech recognition models

• Leverage big data analytic techniques to build predictive models from voluminous data collected from customer touch points

• Perform statistical analyses and provide insightful comments for business team

• Lead fellow analysts to complete modelling and analytic projects

• Drive automation of analytical projects with the team

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Reasonable expenses may be reimbursed

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Paid Time Off

• Supplemental Insurance

• Health Insurance

• Career Growth

• Retirement BenefitsEmployee Bonus ProgramGroup Life BenefitsTeam Building Events

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

• Fluent in English both spoken and written

Responsibilities:

• Work directly both with our R&D division and with our Mission Control team on data analytics projects using our internal tools, spreadsheets and Python scripts for exploratory data analysis, modeling, visualization, performance evaluation and report generation

• Research and deliver insights related to risk exposures, portfolio construction, and quantitative analysis of the investment process

• Evaluating and interpreting the outputs of the models from an economic and financial point of view.

• Producing clear written summaries of research results

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 2+ years of work experience in a industry, university, or government lab, in a role with primary emphasis on AI research

Other Requirements:

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

• Excellent teamwork skills

• Creativity and ability to formulate problems and solve them both in team and independently

• Willing to work towards long-term ambitious research goals, while identifying intermediate milestones and meeting deadlines

Responsibilities:

• Researching, designing and implementing appropriate machine learning algorithms

• Selecting appropriate datasets and data representation methods

• Running machine learning tests, experiment and performing statistical analysis

• Present in a clear and concise way complex results using intuitive and beautiful data visualizations

• Extending existing AI/ML libraries and frameworks

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 3+ years experience for Data Analyst

• 5+ years for Senior Web Scraping Specialist

Responsibilities:

• Collaborate with cross-functional teams

• Conduct research and experimentation

• Develop and enhance forecasting models

• Optimize machine learning models

• Stay updated on advancements in machine learning

Benefits:

• Cutting-edge innovation

• Flexible timings

• Mentorship from industry leaders

• Recognition as a top company

• Accelerated career growth

Experience Requirements:

• 3+ years experience

Responsibilities:

• Identify opportunities and set priorities

• Deconstruct problems and form hypotheses

• Integrate analytical solutions

• Monitor and manage project baseline

• Translate and communicate results

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

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

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