$161K - 175K a year
Design, build, and deploy advanced AI/ML models, lead research and development, collaborate cross-functionally, and mentor team members.
5+ years ML-focused software engineering experience, expertise in Python and ML libraries, cloud experience, strong statistics and problem-solving skills, and hands-on Docker/Kubernetes experience.
Overview The Sr. Machine Learning Engineer will drive our AI initiatives by designing, building, and deploying advanced ML solutions that power business growth and innovation at scale. You’ll lead complex projects, mentor peers, and collaborate with global teams to deliver production-ready AI/ML systems that make a measurable business impact. Prodege A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, BitBurst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences. As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today! • Seeking Qualified Candidates for this Remote role. Applicants must reside in the continental United States. *** Primary Objectives • 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 Qualifications - 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. Detailed Job Duties • 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, • LangChain, LLMs, and HuggingFace 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". What does SUCCESS look like? 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. The MUST Haves • 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 computing. • Hands-on experience with Docker and/or Kubernetes. • Effective communication and collaboration skills with stakeholders across different levels of the • organization. • Adherence to high coding standards and active participation in code reviews. • Strong analytical and problem-solving skills. The Nice To Haves • Master's degree or PhD in AI, Machine Learning, or related fields. • Experience with Ray for Training, Tuning and Serving ML models at scale. • Experience with Recommender Systems in production. • Knowledge of the Scala or Rust programming languages is a plus. • Certification in AI/ML-related disciplines preferred. • Prior experience in leading ML/AI projects or teams. • Extensive experience with AI frameworks such as LangChain, LLMs, and HuggingFace, RAG. • Experience on MLOps, CI/CD/CT • Experience on Bayesian Statistics and Causal Inference. Pay Transparency The anticipated base salary range for this position is $161,000 to $175,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc. Prodege is a multi-state employer and final compensation within this range could be impacted by work location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Prodege Benefits Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. Employees receive flexible PTO, as well as paid sick leave prorated based on hire date. US Employees have eight paid holidays throughout the calendar year. Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years. Equal Employment Opportunity Statement At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply. FCIHO Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.
This job posting was last updated on 10/14/2025