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Machine Learning Engineer

Job in Carlsbad, San Diego County, California, 92002, USA
Listing for: Machina Cognita Technologies
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 170000 USD Yearly USD 90000.00 170000.00 YEAR
Job Description & How to Apply Below

Machina Cognita Technologies is an R&D-driven company specializing in machine learning innovations for government, commercial, and educational applications. We embrace today’s most exciting machine learning challenges with technologies including uncrewed autonomous systems, large language models, realistic simulation environments, computer vision, and reinforcement learning.

We are looking for a Machine Learning Engineer who thrives on tackling complex problems and pushing the boundaries of new technologies. In this role, you’ll partner closely with product managers to understand client pain points, conceptualize forward-thinking solutions, and collaborate with other engineers to bring your ideas to life. You’ll gain end-to-end exposure, expand your creative freedom, and hone a wide-ranging skillset as you contribute across the full software development life cycle.

This is a full-time, onsite role located in Carlsbad, CA
.

Who You Are
  • Energized by open-ended technical challenges in early-stage product development
  • Curious and excited about emerging machine learning methodologies, concepts, and tools
  • Turns failures into learning opportunities
  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 0-5 years of professional machine learning experience
  • Proficient in Python
  • Proficient in machine learning libraries
  • Familiar with AWS (Bedrock, Sage Maker, Lambda, EC2, S3)
  • Proficient in containerization technologies such as Docker or Kubernetes
  • Experience with government and defense contracts (SBIR/STTR) or DoW end users is a plus
  • Strong communication, interpersonal, and collaboration skills

We encourage you to apply even if you don’t meet 100% of these qualifications! We look for the right people, not just the right skillset. If you possess the work ethic, adaptability, and creativity to make a difference in our products and future, we can’t wait to hear from you.

Responsibilities
  • Build proof-of-concept prototypes and client demonstrations to win contract bids and drive new business opportunities
  • Design, develop, and deploy scalable machine learning systems
  • Contribute to system architecture and technical design discussions
  • Monitor system performance and identify and resolve issues to improve reliability
  • Run pilot implementations, troubleshoot issues, and drive resolution
  • Collaborate with product manager and engineers to translate client needs into innovative solutions
  • Travel to client destinations to facilitate product delivery and provide ongoing support and optimization
Compensation

Compensation is based on a variety of factors, including but not limited to relevant experience, ability, education, certifications, specialized skills, business needs, and scope and responsibilities of the position. The estimated range for this role is 90,.

  • Safe Harbor 401(k) with 4% employer match
  • Health and dental insurance with 99% employer contribution towards employee premiums
  • Flexible work hours + inclusive PTO policy to support work-life balance
  • Onsite gym
  • Professional development reimbursement for continual learning
  • Freedom to explore, create, play, and problem-solve while receiving support and guidance from senior leaders
  • Every engineer, at every level, has a voice in what projects we pursue and how we accomplish our technical goals

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.

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