Jobgether
AI Researcher
TLDR
Advance agentic, multimodal AI research to turn real-world interaction data into capable, production-ready agents and systems.
Accountabilities
- Conduct advanced research on agentic AI systems trained on real-world interaction data, focusing on improving reasoning, planning, and tool use.
- Design and experiment with learning frameworks such as RAG, fine-tuning, RLHF, DPO, and GRPO to enhance large-scale model performance.
- Develop multimodal representation learning approaches, including joint embedding spaces across text, audio, logs, and structured data.
- Improve speech and audio intelligence systems, including STT, ASR, and audio-driven learning pipelines.
- Define evaluation methodologies to measure agent performance in real-world and domain-specific environments.
- Translate complex behavioral and interaction signals into structured training objectives for large-scale models.
- Collaborate with engineering and product teams to bring research into production and iterate based on live system feedback.
- PhD in Computer Science, Machine Learning, AI, Electrical Engineering, or a related field.
- 5+ years of experience in applied AI research or ML systems with production-level impact.
- Strong expertise in large-scale machine learning, LLMs, or multimodal AI systems.
- Hands-on experience with RAG systems, LLM fine-tuning, and reinforcement learning methods such as RLHF, DPO, or GRPO.
- Strong background in representation learning, embeddings, and joint multimodal spaces.
- Experience with speech and audio modeling, including STT, ASR, or audio signal processing.
- Proficiency in Python and modern ML frameworks such as PyTorch and Hugging Face.
- Experience designing evaluation frameworks for LLMs or agentic systems.
- Strong ability to define research hypotheses from ambiguous real-world problems.
- Excellent written and verbal communication skills in English.
- Fully remote position within a global AI research organization
- Opportunity to shape cutting-edge agentic and multimodal AI systems
- High-impact research with direct production deployment
- Collaboration with top-tier engineering and product teams
- Strong ownership over research direction and technical strategy
- Access to large-scale proprietary datasets and AI infrastructure
- Competitive compensation aligned with experience and expertise
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Learning Budget
Opportunity to shape cutting-edge agentic and multimodal AI systems
competitive compensation
Competitive compensation aligned with experience and expertise
Paid Time Off
High-impact research with direct production deployment
Remote-Friendly
Fully remote position within a global AI research organization
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Researcher