Job Description
Software Engineer 4
6+ Month W2 Contract
San Jose, CA (Hybrid)
Here's how you'll become a key player with this opportunity:
As a Senior Software Engineer, you will be responsible for developing and maintaining the infrastructure required to deploy, monitor, and manage machine learning models efficiently and effectively. This role is focused on building ML-Ops solutions, but general software engineering skills are sufficient. The work is critical in bridging the gap between research and engineering, ensuring that our AI solutions are scalable, reliable, and seamlessly integrated into our products. This role requires you to thrive in a fast-paced environment, be passionate about AI/ML, and be constantly looking for ways to optimize and automate machine learning workflows.
Here’s how you’ll make an impact on the team:
- Pipeline Development: Implement, optimize, and maintain CI/CD pipelines for ML systems, including integrations with GitHub workflows and Jenkins.
- Collaboration: Partner with data scientists, frontend engineers, and platform teams to deliver seamless integration of ML models into core evaluation platforms.
- Environment Management: Administer ML development/production environments using cloud-native solutions; optimize for scalability, reliability, and cost.
- Tooling and Automation: Evaluate, build, and deploy automation tools to streamline the end-to-end ML lifecycle.
- Quality & Monitoring: Enhance and develop quality evaluation features and ensure robust monitoring via dashboards and automated alerts.
- Documentation & Best Practices: Champion engineering best practices, promote code quality, and document workflows, tools, and processes for effective team adoption.
Here’s what you’ll need to be successful in this role:
- Master's (preferred) in computer science or related STEM field
- Minimum 5 years in software engineering; at least 2 years dedicated to DevOps/MLOps in cloud and production environments.
- Industry experience building end-to-end software pipelines and infrastructure with deep experience with Kubernetes, Infrastructure as Code (Terraform, CloudFormation), AWS, and GCP.
- Expert proficiency in Python; working knowledge of ML frameworks (e.g., PyTorch, TensorFlow, MLflow)
- Practical experience with cloud and NoSQL databases such as DynamoDB; SQL databases a plus.
- Skilled with GitHub Actions, Jenkins, GitLab CI, Docker, and related automation platforms.
- Exposure to Computer Vision, Generative AI (GAN, CLIP, Diffusion, MLLM), and their practical deployment for evaluation systems.
- Experience in integrating ML workflows with user-facing features and backend pipelines.
- Strong problem-solving, excellent written/verbal communication, and the ability to lead and collaborate effectively across teams.
Pay Range:
$80.00 - $88.00/hour
Benefits That Matter to You:
- NextDeavor offers health, vision and dental benefits for contract employees
- Paid sick leave eligibility is contingent on state of residence
- Optional 401k Plan (excludes employer match)
- Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment
Ready to take the next step? Apply today and be part of a team that transforms businesses and fuels growth!
Apply with Pioneers here <https://nextdeavor.thepioneers.ai/jobs/Adobe--software-engineer>!