Software Engineer (US-Remote)
Marlton, NJ · On-site +1
Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.
Software Engineer (US-Remote)
Marlton, NJ · On-site +1
Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
Apply Large Language Models (LLMs) to a variety of applications within remote sensing such as ... Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain
Remote Huggingface information
What is a remote Huggingface job?
Remote Huggingface jobs are positions offered by Hugging Face, a company known for its open-source machine learning and natural language processing tools, that allow employees to work from anywhere outside of a traditional office setting. These roles can include engineering, research, product management, and other tech-related positions. Working remotely for Hugging Face gives employees flexibility while contributing to cutting-edge AI projects and collaborating with an international team using digital communication tools. Remote employees are typically expected to have reliable internet connections and be proactive in virtual collaboration. Hugging Face is committed to supporting remote work and fostering an inclusive, global workplace.
What are the key skills and qualifications needed to thrive as a remote Huggingface engineer?
To thrive as a Remote Hugging Face Engineer, you need a strong background in machine learning, deep learning frameworks, and proficiency in Python, often supported by a degree in computer science or related fields. Experience with Hugging Face Transformers, PyTorch or TensorFlow, and version control systems like Git is typically required. Excellent communication, self-motivation, and collaboration skills are essential for working effectively in a distributed team environment. These skills and qualities are crucial for building robust AI solutions, contributing to open-source projects, and ensuring project success in a remote setting.
What are some common challenges faced by remote Huggingface engineers when collaborating with global teams?
Remote Huggingface engineers often collaborate with colleagues across multiple time zones, which can make scheduling meetings and ensuring real-time communication challenging. To overcome this, teams rely heavily on asynchronous communication tools, thorough documentation, and clear workflows. Another challenge is staying up to date with rapid developments in machine learning models and open-source contributions, requiring proactive engagement with the Huggingface community and internal knowledge-sharing sessions. Despite these hurdles, remote engineers typically benefit from a flexible work environment and access to a vibrant, supportive team.
What is the difference between Remote Huggingface vs Remote Machine Learning Engineer?
| Aspect | Remote Huggingface | Remote Machine Learning Engineer |
|---|---|---|
| Credentials | Experience with NLP, Python, and ML frameworks; familiarity with Huggingface libraries | Degree in Computer Science or related field; experience with ML algorithms, Python, and cloud platforms |
| Work Environment | Collaborative, often project-based, with a focus on NLP and AI models | Developing, testing, and deploying ML models across various domains, including NLP, CV, and more |
| Industry Usage | Primarily in AI/ML companies, research labs, and startups focusing on NLP | Across tech companies, startups, and research institutions working on machine learning solutions |
Remote Huggingface roles focus on NLP and AI model development using Huggingface libraries, requiring specific NLP expertise. Remote Machine Learning Engineers have broader responsibilities across ML domains, with a wider skill set. Both roles are remote-friendly but differ in specialization and scope.
What cities near Runnemede, NJ are hiring for Remote Huggingface jobs?
Cities near Runnemede, NJ with the most Remote Huggingface job openings:
Job description
A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
Job Title
Salary
Shift
Travel
Position Responsibilities
Minimum Security Clearance
Required Qualifications and Skills
Additional Desired Qualifications, Skills, Certifications
Education and Training Required
Minimum Years of Experience
Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.
Overview
Location
- US-Remote or Marlton, NJ area
Job Title
- Software Engineer
Salary
- Commensurate with industry position, depending on experience
Shift
- Typical: Monday through Friday 9am to 5pm
Travel
- Less than 5%
Position Responsibilities
- Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
- Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
- Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
- Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
- Integrate AI models, data pipelines, and inference services into production systems.
- Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
- Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
- Maintain code repositories using modern version control and CI/CD pipelines.
- Apply secure coding practices and support DevSecOps workflows.
- Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
- Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.
Minimum Security Clearance
- Must be eligible and pass security screening to obtain DoD Top Secret
Required Qualifications and Skills
- Strong proficiency in software design, development, and debugging.
- Experience with modern programming languages such as Java, Python, or similar backend technologies.
- Experience with Spring Boot, REST APIs, and microservices architectures.
- Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
- Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
- Experience building containerized applications using Docker and Kubernetes.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with relational databases (MySQL, MariaDB, PostgreSQL).
- Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
- Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
- Ability to analyze problems, design solutions, and work collaboratively in a team environment.
Additional Desired Qualifications, Skills, Certifications
- Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
- Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
- Experience implementing MLOps pipelines for model deployment and monitoring.
- Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
- Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
- Experience with NoSQL databases (MongoDB, Cassandra).
- Active or ability to obtain DoD Top Secret clearance.
Education and Training Required
- Bachelor's degree (in Engineering, Computer Science, Math, or related field)
Minimum Years of Experience
- 2+
Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.
About Gnostech
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Warminster, PA, US
Year founded
1981