• Work closely with the R&D team to change how people think about, generate, and use digital humans. • Support the R&D team in developing new ML methods in markerless motion capture, motion generation, motion understanding, and synthetic data generation. • Contribute to ongoing research projects. • Coordinate with mentors and the broader engineering team to productively apply the latest research findings. • Opportunity to publish at top computer vision, graphics, and ML conferences, e.g., CVPR, ICCV, ECCV, SIGGRAPH, ICLR, NeurIPS

• Research and develop novel generative models, neural methods, and transformers for 3D humans in motion • Participate in ongoing research projects with external research partners and help define new research initiatives • Coordinate with engineering teams to automate and productize the latest research, both internal and collaborative • Define the technical direction for evaluation methods, improvements, and further software development using machine learning and neural networks

• Design and implement machine learning pipelines with a focus on computer vision and deep learning • Identify, extract and process data from relevant data sources for model development • Create tests and evaluations to assess the application performance of machine learning models • Collaborate closely with our software and product teams • Continuously develop yourself and think outside the box

Role Description We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. If you have a knack for shipping high-quality, extremely impactful products, we need you on our team. - Understand business objectives and develop models that help to achieve them, along with metrics to track their progress. - Manage available resources such as hardware, data, and personnel to ensure timely delivery. - Research & Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability. - Explore, visualize, and identify differences in data distribution that could affect performance when deploying the model in the real world. - Verify data quality, and/or ensure it via data cleaning. - Supervise the data acquisition process. - Find available datasets online that could be used for training. - Define validation strategies. - Define the preprocessing or feature engineering to be done on a given dataset. - Define data augmentation pipelines. - Train models and tune their performance. - Analyze the errors of the model and design strategies to overcome them. - Deploy models to production. Qualifications - Strong problem-solving skills. - 7+ years of demonstrated history of machine learning design and end-to-end deployment. - Proven experience with building recommendation engines is a big plus. - Proficiency with a deep learning framework such as TensorFlow. - Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. - Expertise in visualizing and manipulating big datasets. - Proficiency with LLMs like ChatGPT. - Proficiency with OpenCV. - Proficiency with LangChain, PineCone. - Ability to select hardware to run an ML model with the required latency. - Familiarity with Firebase and Google Cloud. - Strong communication skills (written and verbal). - Analytical and data-driven to separate signal from the noise. - You must be a world-class individual contributor to thrive at Taffi. Culture at Taffi We’re highly energetic, insanely hardworking individuals who are extremely happy about the work we do. We’re diverse & distributed. We work remotely across 5 time zones, and our team is a game changer. We move fast but also find time to laugh and get to know more about each other's cultures and backgrounds. We believe in individual freedom, and with freedom comes great responsibility as we don’t like to involve or manage your work. Most of us wear multiple hats, sometimes even taking up responsibilities that are not in our role which needs an individual to be super curious and pretty open about the work responsibility.