VLM Research Engineer
3 weeks ago
Location: Vapi, Gujarat
Employment Type: Full-Time
Overview
We are seeking a highly skilled VLM Research Engineer to build multimodal (vision-language-action) models for instruction following, scene grounding, and tool use across platforms. The role involves developing advanced models that bridge perception and language understanding for autonomous systems.
Key Responsibilities
- Pretrain and finetune VLMs, aligning them with robotics data including video, teleoperation, and language.
- Build perception-to-language grounding for referring expressions, affordances, and task graphs.
- Develop Toolformer/actuator interfaces to convert language intents into actionable skills and motion plans.
- Create evaluation pipelines for instruction following, safety filters, and hallucination control.
- Collaborate with cross-functional teams for integration of models into robotics platforms.
Must-Haves
- Master's or PhD in a relevant field.
- 1–2+ years of experience in Computer Vision/Machine Learning.
- Strong proficiency in PyTorch or JAX; experience with LLMs and VLMs.
- Familiarity with multimodal datasets, distributed training, and RL/IL.
Nice-to-Haves
- Experience with world models, diffusion-policy integration, and speech interfaces.
- Familiarity with sim-to-real transfer in robotics applications.
Success Metrics
- Success@k on language-based tasks.
- Grounding precision and latency.
- Sim-to-real performance retention.
Domain Notes
Humanoids:
- Language-guided manipulation and tool use.
AGVs (Autonomous Ground Vehicles):
- Natural language tasking for warehouse operations; semantic maps.
Cars:
- Gesture and sign interpretation; driver interaction.
Drones:
- Natural language mission specification; target search and inspection.
Application Instructions
Interested candidates may apply by sending their resume and cover letter to parijat.patel@merai.co with the subject line: "VLM Research Engineer Application".
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