PhotoShelter is seeking a Senior Machine Learning Engineer to spearhead their AI/ML initiatives. This role offers an exciting opportunity to work with state-of-the-art models in text and image classification, handling large training datasets. The position combines technical leadership with hands-on development, requiring expertise in machine learning frameworks and computer vision.
As a Senior ML Engineer, you'll be responsible for defining system requirements, implementing quality processes, and optimizing existing ML infrastructure. The role demands strong experience with industry-standard frameworks like PyTorch, TensorFlow, and scikit-learn, along with expertise in classification, regression, and NLP.
The company offers a competitive compensation package ranging from $140,000 to $200,000 USD, along with comprehensive benefits including 401(k) matching and variable pay incentives. PhotoShelter has been recognized by Inc. Magazine as one of the fastest-growing companies in the US and awarded as one of the Best Places To Work in NYC.
The ideal candidate will bring 7+ years of engineering experience, with at least 4 years focused on machine learning applications. They should be passionate about experimentation, comfortable with model improvement, and able to communicate effectively with both technical and non-technical stakeholders.
What sets this role apart is the opportunity to work with visual media experts and contribute to innovative AI solutions in the photography and videography industry. PhotoShelter maintains a strong commitment to diversity and inclusion, fostering a welcoming environment that celebrates individuality and promotes professional growth.
This remote position offers the flexibility of working from anywhere while being part of a dynamic team that values technical excellence and creative problem-solving. If you're passionate about machine learning, have a strong technical background, and want to make an impact in the visual media industry, this role provides an excellent opportunity to advance your career while working on challenging and meaningful projects.