> Markdown version of [/jobs/ext/2583753-senior-ml-engineer-ai-platform](https://www.wearedevelopers.com/jobs/ext/2583753-senior-ml-engineer-ai-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer - AI Platform - **Company:** Versant View all jobs - **Location:** Englewood Cliffs, NJ, United States - **Experience:** Expert - **Salary:** $140,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Big Data, Code Review, Data Systems, Information Extraction, Python (Programming Language), Machine Learning, Language Modeling, Natural Language Processing, Software Product Management, Software Architecture, Recommender Systems, Tensorflow, Software Engineering, TypeScript, Pytorch, Large Language Models, Deep Learning, AI Platforms, Kubernetes, Information Technology, Machine Learning Operations, Functional Programming, Document Classification, Data Pipelines - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/job/usc0d910e680b0c346dd92b6bbf43761c7/eaa ## 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 ## 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. Qualifications 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., VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply, Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agi… + 1 day ago + ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)