Senior ML Engineer

Jupiteraiinc; San Francisco (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health, dental, vision coverage

401(k) with company match

Remote & Hybrid options

Learning budget for certifications

Parental leave

Home office stipend

Mentorship culture

Job summary

Jupiter AI is seeking a senior ML engineer to design and deploy production ML systems at enterprise scale. You will own the full lifecycle from experimentation to production monitoring and work at the core of our AI engineering practice.

You will design reproducible training and deployment workflows, implement drift detection and automated retraining, and collaborate with data engineers on feature stores and inference APIs to guide model choices and explainability.

Qualifications

• Proficient in Python with ML libraries and modeling workflows.
• Experience deploying production ML systems and pipelines.
• Strong software engineering and testing practices.

Responsibilities

• Design production ML pipelines with reproducible training and deployment workflows.
• Implement model monitoring, drift detection, and automated retraining strategies.
• Collaborate with data engineers and product teams on feature stores and inference APIs.
• Guide technical decisions on model selection, evaluation, and explainability.
• Document architectures and contribute to Jupiter AI engineering standards.

Skills

Python

ML Frameworks (PyTorch or TensorFlow)

scikit-learn

CI/CD for ML

Education

MS/PhD in CS/ML or related field

Tools

MLflow

Kubeflow

Docker

Kubernetes

Job description

Design and deploy production ML systems at enterprise scale with MLOps discipline and measurable business impact.

You will architect, train, and deploy machine learning systems for enterprise clients—owning the full lifecycle from experimentation through production monitoring. This role sits at the core of our AI engineering practice.

• Design production ML pipelines with reproducible training and deployment workflows
• Implement model monitoring, drift detection, and automated retraining strategies
• Collaborate with data engineers and product teams on feature stores and inference APIs
• Guide technical decisions on model selection, evaluation, and explainability
• Document architectures and contribute to Jupiter AI engineering standards

Required Skills

• Python, PyTorch or TensorFlow, scikit-learn
• MLOps: MLflow, Kubeflow, or equivalent
• Docker, Kubernetes, CI/CD for ML workloads
• Strong software engineering and testing practices

Preferred Qualifications

• Experience with LLMs, RAG, or generative AI in production
• Federated learning or privacy-preserving ML
• MS/PhD in CS, ML, or related field

Competitive compensation with performance bonuses

Comprehensive health, dental, and vision coverage

401(k) with company match

Flexible remote and hybrid work options

Learning budget for certifications and conferences

Paid parental leave and wellness programs

Enterprise-grade equipment and home office stipend

Collaborative culture with senior mentorship

About Jupiter AI

Build intelligence into the enterprises of tomorrow.

Jupiter AI Solutions engineers production-grade AI systems for Fortune 500 and high-growth organizations. Our teams work at the intersection of strategy, data, and software—shipping platforms that deliver measurable business outcomes.

• Work on mission-critical AI and cloud programs
• Collaborate with senior architects and researchers
• Continuous learning in a practitioner-led culture
• Global clients across healthcare, finance, and manufacturing

What is the interview process?

Our process typically includes a recruiter screen, technical assessment, team interview, and leadership conversation—usually completed within 2–3 weeks.

Do you support remote work?

Yes. Many roles are remote or hybrid. Location requirements are listed on each job posting.

What is the typical timeline to hear back?

Our HR team reviews applications within 5 business days. Shortlisted candidates are contacted directly.

Can I apply for multiple roles?

Yes. Submit a separate application for each role so we can match your profile accurately.