Senior Machine Learning Engineer

Job Description

PhotoShelter is seeking a Senior Machine Learning Engineer to lead, maintain and refine our suite of AI/ML offerings. You’ll tackle complex business challenges using state of the art models in areas of text and image classification. You will be exposed to large training data sets and training algorithms.

Responsibilities:

• Help define ML system requirements for experimentation and production services
• Define internal quality processes in the team including testing methodologies and data collection
• Identify improvement opportunities such as automating manual processes and cost reduction
• Mentor/guide existing stakeholders and engineers
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
• Identify differences in data distribution that could potentially affect model performance in real-world applications
• Ensure algorithms generate accurate user recommendations
• Monitor and stay updated with industry trends and emerging technologies to identify opportunities for innovation and improvement

Requirements

• 7+ years of professional engineering experience
• 4+ years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• 4+ years of work experience in classification, regression, clustering, natural language processing NLP, experiments, and optimization
• Expertise with training and fine-tuning computer vision models
• Experience with ensemble learning and AI decision making
• Willingness to get hands on with model improvement and decision making systems
• Experience with data labeling software and best practices 
• Familiarity with vector/embedding
• Familiarity python and best practices
• Passion for experimentation to support continuous improvement
• Communicate effectively to audiences of various technical and non-technical backgrounds

Nice to have:

• Passion for sports and photography
• Familiarity with OCR models
• Experience with MLOps
• Familiarity Amazon AWS or similar
• Familiarity with ConvNeXt and similar models
• Contributed to open source ML software
• Authored/co-authored a paper on a ML technique, model, or proof of concept

Benefits

We're offering:

• An inspired environment - Inc. Magazine named PhotoShelter one of the fastest growing companies in the US and we’ve been awarded one of the Best Places To Work in NYC by InternetWeek with special recognition for our employee happiness scores.
• Visual Media industry expertise through exposure to amazing photographers and videographers and new trends in the industry.

• PhotoShelter Benefits - We offer the usual good stuff. Competitive annual salary, variable pay incentives, 401(k) with company match, insurance coverage, generous PTO.
• Compensation range for this role is $140,000 - $200,000 USD

Our Commitment to Diversity, Equity & Inclusion:

The team at PhotoShelter has a set of foundational values – among them are “we operate with heart” and “our integrity drives everything.” As these values guide our company, PhotoShelter is committed to maintaining a welcoming and respectful workplace that celebrates each employee’s unique identity. We recognize that diverse viewpoints and experiences are essential to the success of our team. Alongside our commitment to photographers and creative teams, we in turn ensure that team members from all backgrounds are supported to grow creatively and professionally in their careers at PhotoShelter. We’re proud to be an equal opportunity employer, and are committed to providing all employees with a work environment that celebrates individuality and remains free from any form of discrimination and harassment. It’s not about our bottom line, it’s about the core values that drive us forward. Our management team and hiring managers are mindful of the needs of our unique community, ensuring that our workplace is inclusive, welcoming and safe for all.