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This listing was closed on Jul 17, 2026.
Browse Open JobsApplied AI Research Engineer
Summary by AIEngineer.careers
Applied AI Research Engineer is a AI Research Engineer role (full-time). with Netic. in SAN FRANCISCO, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
SAN FRANCISCO · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Netic is an AI revenue engine for essential services, backed by $43M in funding. As an Applied AI Research Engineer, you will track frontier ML research, identify high-ROI projects, build and productionize models, and own the full cycle from data to deployment.
Responsibilities
- Study the frontier: Track frontier work in traditional ML, LLMs, multimodal models, retrieval, and agentic systems.
- Identify high-ROI projects: Partner with GTM and ops teams to spot bottlenecks and define ML projects.
- Build targeted models: Own data curation, training, evaluation, and deployment.
- Productionize solutions: Integrate models via robust APIs and streaming pipelines.
- Self-direct & ship: Set technical roadmap, validate quickly, iterate based on real-world results.
Requirements
- Deep ML experience: 4+ years with cutting-edge ML techniques; fluent in PyTorch or JAX.
- Research-to-revenue record: Proven ability to take novel ML concepts from paper to production.
- Full-stack pragmatism: Comfortable with ETL, feature stores, cloud-native infrastructure, and A/B experimentation.
- Data engineering skills: Experience with complex, real-world data streams and building reliable training pipelines.
Netic
Aalborg · DK · 164+ employees
Netic is an IT services and consulting company specializing in application operations, cloud operations, hosting, and software development. It supports both public and private sector organizations, with a strong focus on secure, dependable IT infrastructure.
