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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI engineer - **Company:** Versant Media - **Location:** Englewood Cliffs, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Artificial Neural Networks, Big Data, Code Review, Data Systems, Design of User Interfaces, Human-Computer Interaction, Information Extraction, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Software Product Management, Software Architecture, Recommender Systems, Tensorflow, Software Engineering, TypeScript, Scripting, Pytorch, Large Language Models, Deep Learning, Reliability of Systems, AI Platforms, Information Technology, Data Management, Machine Learning Operations, Feature Extraction, Functional Programming, Document Classification, Data Pipelines, Recurrent Neural Networks - **Published:** October 3, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ml-engineer-ai-platform-englewood-cliffs-nj--3e04e33e-cae9-4c3f-a752-b1b7aa63577f ## About the Role * Bachelor's degree in Computer Science or equivalent practical experience * Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems * Experience building and operating production ML systems * Strong proficiency in Python, TypeScript, or Java * Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP * Solid understanding of modern ML techniques, including deep learning and representation learning * Experience contributing to system design and technical decision-making, Architectural Services, Artificial Intelligence (AI), Business Analysis, Cafeteria, Code Reviews, Computer Science, Consumer Branding, Consumer Goods and Services, Data Management, Data Modeling, Deep Learning, Dry Cleaning, Employee Benefits, Entertainment and Media, Equity Securities, Fitness, Functional Programming Languages, Fundamental Analysis, Hedge Funds, Java, Large-Scale Systems, Leadership, Leading Edge Technology, Machine Learning, Machine Tool, Market Analysis, Mentoring, Modeling Languages, Natural Language Processing (NLP), Neural Networks, Operational Audit, Problem Solving Skills, Product Design, Product Development, Product Engineering, Production Systems, Python Programming/Scripting Language, Quality Management, Resume Search, Risk Analysis, Risk Management, Software Engineering, Startup, Statement of Work (SOW), Systems Reliability, Team Player, Technical/Engineering Design, Turning Center, User Interface/Experience (UI/UX), Workflow Analysis ## Description As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. * You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. * This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. * Design, implement, and maintain production ML and AI systems used at scale * Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring· Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality * Solve complex technical problems with moderate ambiguity and strong business impact * Participate in code reviews and incident retrospectives to improve system quality and reliability * Support the team's overall technical growth * Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues * Use and improve model lifecycle management, monitoring, and evaluation frameworks * Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures * Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction * Experience with training pipelines using frameworks such as TensorFlow or PyTorch * Experience building human-in-the-loop training or evaluation workflows * A genuine interest in investing, public markets, and fundamental business analysis is expected.