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
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
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
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
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About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has
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External candidates: In order for your application to be correctly processed please sign-in before you apply Internal candidates: Please go to Workday and click "Find Jobs" link under Career Thank
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External candidates: In order for your application to be correctly processed please sign-in before you apply Internal candidates: Please go to Workday and click "Find Jobs" link under Career Thank
$62.25 - $80.50/hr
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About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming
About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming
About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming
About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming
About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming
About Us Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming
Remote Spacex Machine Learning information
What does a remote SpaceX machine learning engineer do?
A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.
What are the key skills and qualifications needed to thrive as a remote SpaceX machine learning engineer?
To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.
What are some unique challenges of working remotely as a machine learning engineer at SpaceX, and how can candidates prepare for them?
Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.
What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?
| Aspect | Remote Spacex Machine Learning | Remote Spacex Data Scientist |
|---|---|---|
| Required Credentials | Advanced degree in Computer Science, AI, or related field; experience in ML frameworks | Degree in Data Science, Statistics, or related; strong analytical skills |
| Work Environment | Developing ML models, algorithms, and AI systems for space applications | Analyzing data, creating insights, and supporting decision-making processes |
| Employer & Industry Usage | Used in AI-driven space missions, autonomous systems, and robotics | Applied in data analysis, reporting, and predictive modeling for space projects |
Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.
What are popular job titles related to Remote Spacex Machine Learning jobs in Michigan?
For Remote Spacex Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Spacex Machine Learning jobs in Michigan look for?
The top searched job categories for Remote Spacex Machine Learning jobs in Michigan are:
AI Machine Learning Engineer (AI / ML: Python / Go)
Detroit, MI • On-site, Remote
Benzinga
• Video and Audio Streaming Services • 11 - 50 employees11 - 50 employees
Full-time
Re-posted 25 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
Backend & Infrastructure
Requirement for applying:
Required Qualification
Preferred Skills / Experience
Tech Stack
Why Join 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.
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