AI Machine Learning Engineer – AI, ML, Python, Go

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🚗 Michigan – Remote

🚗 Michigan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

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Benzinga

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

📱 Media

💸 Finance

💰 $3M Venture Round on 2016-09

Media • Finance

Benzinga is a financial media company that provides real-time news, data, and insights about the financial markets. It caters to both individual investors and institutions, offering tools and resources to help them make informed investment decisions. Benzinga focuses on delivering actionable information and analysis on stocks, options, and other financial instruments.

📋 Description

• AI / Machine Learning Research, design, and deploy machine learning models across NLP, time-series forecasting, and event detection domains • Build LLM-driven systems (e.g. summarization, RAG pipelines, embedding search) optimized for financial news and quantitative data • Develop model serving APIs and scalable inference layers using Go or Python • Implement model monitoring, drift detection, and continuous retraining pipelines • Work with financial text (earnings call transcripts, filings, news) to extract structured insights • Collaborate with data engineers to build training datasets, feature stores, and embedding databases • Backend & Infrastructure Develop and maintain high-performance Python or Go microservices that integrate with AI systems and Go data APIs • Design and optimize real-time inference pipelines on AWS, leveraging ECS/EKS, S3, and Lambda • Ensure low-latency, fault-tolerant, and scalable delivery of AI-powered data • Implement CI/CD for ML workflows, including containerization, automated deployment, and versioning • Partner with DevOps to manage cloud infrastructure and ensure robust observability for AI workloads

🎯 Requirements

• 4+ years of experience in AI/ML or data engineering roles, with a proven track record of deploying ML models in production • Computer science degree (Bachelor minimum) • Deep proficiency in Python (data, ML) and Go (backend, microservices) • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face • Experience with transformer architectures, embeddings, or fine-tuning LLMs • Strong understanding of data pipelines, feature extraction, and model lifecycle management • Familiarity with Docker, Kubernetes, and AWS (EKS, S3, Lambda, EC2) • Excellent problem-solving skills and ability to work independently in a distributed environment

🏖️ Benefits

• Fully remote, high-trust environment that rewards curiosity, speed, and execution • Build and ship production AI systems that shape how financial markets understand information • Operate with full creative freedom — explore, experiment, and execute your ideas end-to-end • Work with a lean, highly technical team where initiative and ownership are celebrated