Responsibilities :
- Developing data pipelines for collecting, processing, and analyzing diverse datasets.
- Designing and implement deep learning architectures for large volumes of data.
- Conducting experiments and tests to evaluate model performance.
- Contributing to optimizing and fine-tuning existing machine learning models.
- Building pipelines for monitoring, managing and constantly improving production ML / DL models.
Qualifications :
A bachelor’s, master's, or PhD (complete) degree or equivalent from a top university, with 2-6 years of experience.Prior experience with training, building, and deploying large scale deep learning models is mandatory.Prior experience designing and implementing sequence and time series models is required.Experience with Git, CI / CD pipelines and MLOps for automating model deployments.Skilled in using Linux, SQL, Git, and BASH scripting.Strong knowledge of Python and hands-on (Pytorch / Tensorflow).Benefits :
Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world.
At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.
Our benefits include :
Generous paid time off policiesSavings plans and other financial wellness tools available in each regionHybrid working opportunitiesFree breakfast, lunch and snacks dailyIn-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)Volunteer opportunities and charitable givingSocial events, happy hours, treats and celebrations throughout the yearWorkshops and continuous learning opportunitiesAt Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.