Sr. ML Ops Engineer

Fast-growing tech startup transforming clinical trials with AI platform to accelerate life-saving treatments to patients.
Pasadena, CA, USA
$160,000 - $190,000
Machine Learning
Senior Software Engineer
Remote
51 - 100 Employees
5+ years of experience
AI · Healthcare

Description For Sr. ML Ops Engineer

Deep 6 AI, a Los Angeles-based tech startup, is revolutionizing the healthcare industry by accelerating clinical trials through their innovative AI platform. They're seeking a Senior ML Ops Engineer to join their mission of getting life-saving treatments to patients faster.

The role combines sophisticated machine learning expertise with practical engineering skills, focusing on building and maintaining scalable ML pipelines. You'll be working with cutting-edge technologies, including traditional ML concepts and modern deep learning frameworks, while ensuring all solutions meet strict healthcare compliance standards.

As a Senior ML Ops Engineer, you'll be responsible for designing and implementing ML pipelines, creating automated workflows, and continuously monitoring and optimizing model performance. The position requires deep technical knowledge in JVM languages, containerization, and cloud-based ML platforms, along with experience in clinical data concepts.

The company offers a flexible, remote-first culture with teams distributed across the country. They value diversity, inclusion, and collaborative problem-solving. The work environment is described as intelligent, curious, and motivated, where different perspectives are respected and valued.

Deep 6 AI provides a comprehensive benefits package, including competitive salary ($160,000-$190,000), generous PTO, full healthcare coverage, and 401k. This is an excellent opportunity for someone who wants to make a meaningful impact in healthcare while working with cutting-edge AI technology in a supportive, growth-oriented environment.

The ideal candidate will bring both technical expertise and a collaborative mindset, with bonus points for healthcare domain experience and advanced NLP knowledge. If you're passionate about using AI to improve healthcare outcomes and want to be part of a mission-driven team, this role offers the perfect blend of technical challenge and meaningful impact.

Last updated 3 minutes ago

Responsibilities For Sr. ML Ops Engineer

  • Design, implement, and manage scalable machine learning pipelines
  • Create automated workflows for data preprocessing, model training, evaluation, and deployment
  • Monitor and optimize performance of ML models in production
  • Collaborate with data scientists and software engineers
  • Implement data security and compliance practices
  • Maintain documentation of ML processes and provide performance reports

Requirements For Sr. ML Ops Engineer

Java
Python
Kubernetes
  • Deep knowledge of traditional ML concepts (LSTMs, RNNs, GMMs, SVMs)
  • Proficiency in JVM languages
  • Familiarity with CI/CD tools
  • Proficiency with Docker and orchestration tools
  • Experience with cloud-based ML platforms
  • Experience with JVM search and linguistics frameworks
  • Experience with Deep Learning Frameworks
  • Understanding of signal processing concepts
  • Familiarity with clinical data and concepts
  • Experience in model training automation

Benefits For Sr. ML Ops Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
  • Competitive salary
  • Generous PTO plan including sick and vacation days
  • Employer-paid medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Long-term disability coverage
  • 401k plan

Interested in this job?

Jobs Related To Deep 6 AI Sr. ML Ops Engineer

Machine Learning Engineer, Recommendation

Senior Machine Learning Engineer position at NewsBreak focusing on recommendation systems, offering $130-260K, requiring 3+ years of experience and advanced degree in Computer Science or related field.

Senior ML Engineer/Researcher

Senior ML Engineer/Researcher position at PlayAI, building cutting-edge voice and conversational AI technology with competitive compensation and equity.

Systems Research Engineer, Machine Learning Systems

Senior ML Systems Engineering role at Together AI, focusing on distributed training systems and inference engines for AI platforms, offering $160-230K + equity in San Francisco.

Applied ML Engineer, Speech

Join Speak as an Applied ML Engineer to develop cutting-edge speech recognition models for language learning, working with a global team and advanced AI technology.

Senior Software Engineer, Machine Learning and Artificial Intelligence

Senior Software Engineer position focusing on Machine Learning and AI at Mashgin, developing computer vision solutions for instant checkout systems.