AI Jobs

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:

• 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:

• Workforce development

• Volunteer days off

• Wellness programs

• Personal and holiday time off

• Equal pay and annual pay assessment

Benefits:

• Remote-first team

• Personal learning budget

• Flexible days off

• Recharging budget

• Biannual company retreats and team gatherings

Education Requirements:

• Educational background in software engineering, computer graphics, computer vision, machine learning, AI, or related disciplines

Experience Requirements:

• 4+ years of experience working with Computer Vision and Deep Learning

• Broad knowledge of the games industry and expertise in applying technology to creative tools, art creation, and 3D/mesh workflows

• Proficiency in writing code, particularly in Python

• Past projects that demonstrate experience, such as research papers, demos, or products

Other Requirements:

• Product-focused mindset

Responsibilities:

• Applying generative AI for 3D content creation and shipping it as part of the product

• Collaborating closely with 3D artists and engineers to iterate and improve solutions

• Inspiring innovation and coming up with creative and useful applications of AI to enhance the product