Senior Machine Learning Engineer

Job Description

Pollfish, a Prodege, LLC company, is an online market research survey platform where data driven brands bring market research in-house for faster and smarter decision making. We have a proprietary network of 250M consumers/year which enables companies to connect with and understand real consumers worldwide in a fast, easy and cost-effective way.

The Sr. Machine Learning Engineer will drive our AI initiatives by designing, building, and deploying advanced ML solutions that power business growth and innovation ’ll lead complex projects, mentor peers, and collaborate with global teams to deliver production-ready AI/ML systems that make a measurable business impact.

• Advanced AI/ML Solution Development
• Leading Model Research and Development
• Strategic Cross-functional Collaboration
• Industry Trend Analysis and Application
• AI Technique Evaluation and Innovation
• Model Training, Validation, and Optimization
• Seamless Integration and Performance Monitoring
• Mentorship and Advanced Team Support

To perform this job successfully, an individual must be able to perform each job duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Develop and implement advanced AI/ML solutions aligned with strategic company goals.
• Lead the research, development, and deployment of sophisticated AI/ML models using Python,
• Lang Chain, LLMs, and Hugging Face transformers, as well as libraries for Deep Learning (e.g.,
• Pytorch), ML libraries (e.g., XGBoost, Scikit-learn), and NLP (e.g., spaCy, NLTK).
• Fine-tune existing models and create new models from scratch to enhance business processes and outcomes.
• Collaborate cross-functionally with senior teams to identify opportunities for AI/ML integration and optimization.
• Stay abreast of and apply industry trends and advancements to ensure our AI initiatives remain innovative and impactful.
• Research, evaluate, and implement advanced AI techniques and tools to inform decision-making.
• Collaborate with senior data and software engineers and other stakeholders to ensure seamless integration of AI/ML solutions.
• Monitor and optimize model performance on a regular basis.
• Provide advanced guidance and mentorship to junior team members and peers.
• Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future".

Success in this role means delivering AI-driven solutions that improve efficiency, accelerate revenue growth, and establish us as an innovator in applied AI. You’ll be recognized for shipping high-quality models into production, fostering a culture of experimentation, and mentoring the next generation of ML talent.

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Five or more (5+) years of experience in software development/engineering focused on machine learning.
• Expertise in Python, writing production-quality code. Expertise in SQL for big data exploratory analysis and feature engineering.
• Two or more (2+) years of experience working in cloud data environments (e.g. GCP, AWS, Databricks).
• Excellent understanding of machine learning techniques and algorithms, such as DNN, Boosting Trees, Random Forests, etc. Has the ability to decide which type of ML model to apply in each situation, or do research in this matter.
• Strong applied statistics skills, such as design of experiments and statistical tests.
• Experience with Pytorch.
• Extensive experience in ML end-to-end development cycle: data exploration, extraction, preprocessing, training, tuning, deployment for batch and online inference, in highly scalable production clusters.
• Proven track record of deploying custom AI/ML solutions, going beyond out-of-the shelf algorithms or pre-trained models.
• Understanding of modern API design and RESTful principles.
• Experience working with large-scale datasets and distributed…