AI/ML Engineer

Job not on LinkedIn

August 30

🏖️ New Jersey – Remote

Although this job is listed in New Jersey, this company may be open to hiring remote in other states.

+1 more states

🏖️ New Jersey – Remote 🗽 New York – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

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LatentView Analytics

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Artificial Intelligence • Analytics • Consulting

LatentView Analytics is a data analytics firm that specializes in helping businesses harness the power of data-driven insights to improve decision-making. The company offers a variety of services, including data engineering, data science, and data visualization. With expertise across multiple domains such as customer analytics, marketing analytics, and risk analytics, LatentView assists organizations in transforming complex data into actionable strategies for growth and efficiency.

1001 - 5000 employees

Founded 2006

🤖 Artificial Intelligence

📋 Description

• Balance independence and collaboration: you make quick, informed decisions on your own, but stay aligned with the team and company goals. • Value both agency and teamwork, and bring strong communication skills to keep collaboration productive. • Enjoy supporting the growth of others: sharing knowledge, mentoring junior teammates, and helping the whole team level up. • Extend our technology and products for edge MLOps: clean interfaces, reliable services, and ergonomics that make ML workflows fast and repeatable. • Build products that enable users to explore, assess, and improve training data quality at scale (e.g. embeddings, clustering, distillation). • Enhance automated MLOps pipelines with new models, optimization strategies, and evaluation methods to mine predictive signal from large experiment corpora. • Help evolve our agentic layer so customers can interact with the system naturally (query state, orchestrate runs, interpret results). • Ship production-grade code with strong CI/CD, tests, and docs; raise reliability and developer experience across the stack

🎯 Requirements

• 2-3 years industry experience or PhD with equivalent expertise • Technical depth in ML/AI with a preference for computer vision and NLP • Proven contributions, whether in industry or academia, that moved innovative ideas closer to product • 2-3 years industry experience • Hands-on execution: the ability to design, build, and ship, not just theorize • Collaborative independence: you’re comfortable making autonomous progress, but you thrive in a team environment • Growth mindset: curiosity, adaptability, and willingness to learn new approaches and tools • Fluent in Python and modern ML frameworks like PyTorch; familiarity with agentic AI frameworks is a bonus • Know your way around CI/CD, automated testing, and documentation, and care about building robust systems • Familiarity with data science front-end/UI workflows to support quick demonstrations (streamlit, dash, gradio) • Track record of driving innovation from research or prototypes into production ready features or products • US citizenship preferred but not a requirement • Candidates based in NJ, NY or Washington DC are preferred