Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness

Benefits:

• Competitive Salary

• Comprehensive health insurance

• Retirement plans

• Unlimited paid time off

• Flexible working hours

Education Requirements:

• Ph.D. in AI, machine learning, computer vision, computer graphics, or a closely related field

Experience Requirements:

• 3+ years of industry experience

Other Requirements:

• Proven research expertise

• Technical Mastery

• Experience with 3D tools

Responsibilities:

• Cutting-Edge Research

• 3D Content Innovation

• Collaborative Development

• Thought Leadership

Education Requirements:

• Undergraduate degree (any discipline and any grade)

• Postgraduate study (in progress or planned)

Other Requirements:

• Willingness to learn and listen

• Openess to feedback (giving and receiving)

• Appreciate for The Rio Way (or mission, values and culture)

• High aptitude to learn from others and teach in return

• London based (expenses are not included during the internship)

• It is not critical to be interested in a full time role, however candidates who do want to apply for the Analyst graduate training programme (12 months paid 30,000 GBP) from September 2024 will be prioritised

Responsibilities:

• 3 day training to understand the Rio platform and data management processes;

• Work with a Consultant on a live customer example

• Train in professional services: project management, stakeholder engagement, communication and teamwork

• Tuesday-Thursday office based with Rio AI’s ‘The Consultant Group’ which sits in the Commercial team

• Understanding of sustainability technology and how Rio AI is supporting customers

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

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

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