What are the responsibilities and job description for the Junior Machine Learning Engineer position at Machina Cognita Technologies?
Machina Cognita Techologies is a veteran-owned small business specialized in developing custom machine learning solutions for diverse needs across government, commercial, and educational sectors. We empower our clients to scale intelligently, unlock their competitive edge, and transform their data into powerful business outcomes using our comprehensive suite of human-machine teaming, decision support, automated test and evaluation, and collaborative autonomy solutions.
We are looking for a Junior AI/ML Engineer to support the design, deployment, and production-scale operation of machine learning systems on Amazon Web Services (AWS). In this role, you’ll work closely with team members to deploy end-to-end ML pipelines, including data ingestion, model packaging, monitoring, and continuous improvement, while ensuring security, reliability, and scalability.
This is a full-time, onsite role located in Carlsbad, CA.
Responsibilities
- Support development and deployment of scalable ML systems using AWS infrastructure
- Collaborate with product managers, engineers, security teams, and clients to understand and fulfill functional and compliance needs
- Monitor system performance and assist in identifying and resolving issues to improve reliability
- Help run pilot implementations, troubleshoot issues, and drive resolution
- Provide support for deployed systems and contribute to ongoing improvements and maintenance efforts
- Build strong client relationships through high-quality technical delivery
Required Qualifications
- Bachelor’s Degree in Computer Science, Engineering, or related field
- 1-3 years of academic, project, or professional experience in ML
- Hands-on experience with AWS or other cloud services
- Strong communication and interpersonal skills
Bonus Qualifications
- Experience with AWS S3, EC2, Lambda, Bedrock, or SageMaker
- Knowledge of containerization and orchestration technologies, including Docker and Kubernetes
- Experience with Python, Java, Go
- Familiarity with PyTorch or other ML frameworks
- AWS Certification (Machine Learning Engineer or CloudOps Engineer)
Compensation & Benefits
- Salary range: $85,000 to $120,000
- Safe Harbor 401(k) with 4% employer match
- Health and dental insurance with 99% employer contribution towards employee premiums
- Flex time inclusive PTO policy to support work-life balance
- Onsite gym
Machina Cognita Technologies does not discriminate on the basis of race, color, religion, gender, sexual orientation, marital status, disability, genetic information, age, or other non-merit factors. We recognize and appreciate the value of a diverse workforce and encourage all qualified individuals to apply.
Salary : $85,000 - $120,000