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Vector Pipeline Jobs in Michigan (NOW HIRING)

Motorola

Senior AI Engineer (US Remote)

Three Rivers, MI · Remote

$180K - $210K/yr

... vector search * Designing AI agents that can reason, plan, and execute complex workflows * Establishing prompt engineering best practices and evaluation pipelines * Ensuring AI safety through ...

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines ... Experience with AI, machine learning, generative AI, large language models, RAG, vector search ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

For example, building ETL pipelines that process terabytes of daily event data and transform it for ... Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

For example, building ETL pipelines that process terabytes of daily event data and transform it for ... Vector Databases**. * Proficiency in Python programming. * Solid experience with SQL for data ...

Stefanini

MLOps Engineer

Dearborn, MI · On-site

AWS or Google Cloud Platform Docker, Kubernetes API development (FastAPI / Flask) Data pipelines ... Familiarity with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and semantic ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Familiarity with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and semantic ... AWS or GCP Docker, Kubernetes API development (FastAPI / Flask) Data pipelines (ETL), data lakes ...

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All JobsVector Pipeline JobsVector Pipeline Jobs in Michigan

Vector Pipeline information

See Michigan salary details

$83.7K

$121.3K

$146K

How much do vector pipeline jobs pay per year?

As of Aug 10, 2026, the average yearly pay for vector pipeline in Michigan is $121,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $145,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the vector pipeline position?

To excel in a Vector Pipeline role, candidates typically need a strong background in computer graphics, 3D pipeline development, and programming languages such as Python or C++. Familiarity with industry-standard tools like Autodesk Maya, Houdini, and version control systems is frequently required, along with knowledge of data formats and real-time rendering engines. Strong problem-solving skills, communication, and the ability to collaborate with multidisciplinary teams are invaluable soft skills. These capabilities enable efficient development and maintenance of art asset pipelines, ensuring smooth workflows for artists and technical teams in industries such as animation, gaming, or visual effects.

What is a vector pipeline?

A Vector Pipeline job typically involves managing the flow of vector data in computing processes, often related to graphics rendering, machine learning, or high-performance computing. This role focuses on optimizing how vectorized data is processed through parallel computing techniques, ensuring efficiency and speed. Professionals in this field work with specialized hardware, software frameworks, and algorithms to enhance computational performance.

What are the main responsibilities of a vector pipeline specialist?

A Vector Pipeline specialist is primarily responsible for developing, managing, and optimizing the processes that move graphical assets through different stages of a production. This includes creating scripts and tools to automate repetitive tasks, ensuring compatibility between software packages, and addressing technical issues that arise in the art pipeline. They frequently collaborate with artists, animators, and developers to streamline workflows and improve efficiency. In larger teams, they may also participate in planning meetings and help train other team members on pipeline tools and best practices. This multifaceted role is central to keeping projects on schedule and facilitating smooth creative collaboration.

What are popular job titles related to Vector Pipeline jobs in Michigan? For Vector Pipeline jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Vector Pipeline jobs in Michigan look for? The top searched job categories for Vector Pipeline jobs in Michigan are:
What cities in Michigan are hiring for Vector Pipeline jobs? Cities in Michigan with the most Vector Pipeline job openings:
Vector Pipeline jobs near you
Infographic showing various Vector Pipeline job openings in Michigan as of August 2026, with employment types broken down into 55% Full Time, 9% Part Time, and 36% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $121,345 per year, or $58.3 per hour.

AI Machine Learning Engineer (AI / ML: Python / Go)

Benzinga

Detroit, MI • On-site, Remote

Full-time

Posted 20 days ago

Job description

About Benzinga
Benzinga is a fast-growing financial media and data technology company reshaping how investors access information. We combine artificial intelligence, machine learning, and real-time data pipelines to surface insights before they hit the mainstream. Our platforms deliver structured news, sentiment analytics, and financial data APIs used by leading banks, fintechs, and AI companies worldwide.
We're seeking a highly motivated AI / Machine Learning Engineer who thrives at the intersection of data science and backend engineering - someone who can take a model from notebook to production, and architect intelligent systems in Go and Python that scale to millions of requests.
The ideal candidate is a self-starter who independently identifies opportunities, experiments with new approaches, and ships production-ready solutions without constant direction.
Key Responsibilities
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.

Requirement for applying:
  • During your screening you will be required to submit a Loom video walkthrough of your most exceptional product, share relevant code/repo links, and describe the biggest challenge you faced building it.

Required Qualification
  • 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.

Preferred Skills / Experience
  • Startup experience.
  • Financial services or fintech background
  • Experience building LLM-powered APIs or retrieval-augmented generation (RAG) systems.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, OpenSearch kNN).
  • Experience with Kafka, LangChain, or data streaming architectures.
  • Familiarity with financial data systems, real-time analytics, or news NLP.
  • Exposure to MLOps tools (MLflow, BentoML, SageMaker, Airflow, etc.).
  • Contributions to open-source ML or Go projects are a strong plus.

Tech Stack
  • Languages: Python, Go
  • ML Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain
  • Cloud: AWS (EKS, ECS, S3, Lambda, EC2, IAM)
  • Containers & Orchestration: Docker, Kubernetes
  • Data & Streaming: Kafka, Postgres, OpenSearch
  • CI/CD: GitHub Actions, GitLab CI
  • Monitoring: Datadog, Prometheus, Grafana
  • Version Control: Git (Gitlab / Github)

Why Join Benzinga
  • 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.
  • Fully remote, high-trust environment that rewards curiosity, speed, and execution.
Benzinga logo

About Benzinga

Sourced by ZipRecruiter

Benzinga is a full-service news and media company with three main areas of expertise: real-time news, actionable trading ideas and insightful commentary. We offer coverage of all aspects of the financial market including corporate, economic and political content. With strong connections in and around the market, we strive to provide high quality and relevant news for the real-time environment that defines today's world.

Industry

Video and audio streaming services

Company size

11 - 50 Employees

Headquarters location

Detroit, MI, US

Year founded

2010

Social media

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