Forward-Deployed ML Engineer — Ownership & Equity

Morpheus Talent Solutions; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

401(k)

Daily meals and snacks

Transportation support for commuting

Job summary

Morpheus Talent Solutions is seeking a Forward Deployed Machine Learning Engineer in San Francisco to build production systems for large-scale multimodal data, collaborating closely with customers and partners.

You will own problems end-to-end, turning ambiguous requirements into reliable workflows, developing pipelines for collecting, transforming, filtering, labeling, and packaging datasets, and applying Generative AI and Physical AI in real-world projects.

Qualifications

• Experience working directly with customers, partners, or external technical teams.
• Strong Python skills and practical experience with PyTorch or a comparable ML framework.
• Hands-on experience with Generative AI, Physical AI, or related machine learning systems.
• Experience building ML systems, data pipelines, or production workflows.
• Strong intuition for dataset quality, filtering, labeling, evaluation, and difficult edge cases.
• Ability to turn ambiguous objectives into concrete technical plans and working systems.
• Ability to write clean, maintainable code while operating at startup speed.
• A strong interest in multimodal AI, video, media technologies, robotics, or intelligent physical systems.
• A bias toward shipping complete solutions rather than stopping at research prototypes.
• Comfort working across application code, machine learning, infrastructure, and data.

Responsibilities

• Work directly with technical customers and partners to understand complex and often ambiguous requirements.
• Design and build production systems for large-scale multimodal data.
• Develop pipelines and workflows for collecting, transforming, filtering, labeling, evaluating, and packaging datasets.
• Build custom algorithms, heuristics, and ML-powered systems when existing tools are insufficient.
• Work with data and models supporting Generative AI, Physical AI, computer vision, robotics, and other emerging AI applications.
• Translate high-level goals into concrete models, infrastructure, quality controls, and evaluation processes.
• Investigate edge cases and develop practical approaches to measuring and improving data quality.
• Collaborate closely with engineering, ML, research, and product teams.
• Own projects end-to-end, from initial problem definition through deployment and iteration.
• Move quickly while maintaining a high standard for reliability and maintainability.

Skills

Python

PyTorch

Generative AI

Physical AI

Data pipelines

Production workflows

Customer collaboration

End-to-end ownership

Multimodal data

ML systems

Job description

Morpheus Talent Solutions is seeking a Forward Deployed Machine Learning Engineer in San Francisco to build production systems for large-scale multimodal data, collaborating closely with customers and partners.

You will own problems end-to-end, turning ambiguous requirements into reliable workflows, developing pipelines for collecting, transforming, filtering, labeling, and packaging datasets, and applying Generative AI and Physical AI in real-world projects.