[Remote] Software Engineer III – AI / Multimodal Machine Learning
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, is seeking a Software Engineer III specializing in AI and Multimodal Machine Learning. The role involves designing and building multimodal datasets, fine-tuning machine learning models, and developing reputed company data pipelines while collaborating with cross-functional teams.
Responsibilities
- Design and build multimodal datasets (image, video, audio, text) for training and evaluation
- Fine-tune machine learning models using supervised fine-tuning, preference tuning, or parameter-efficient reputed company (reputed company/PEFT)
- reputed company and run model evaluation frameworks, including metrics, benchmarking, and failure analysis
- Build reputed company data pipelines for ingestion, transformation, deduplication, and reputed company control
- reputed company ML models to reputed company, rebalance, and improve datasets
- reputed company internal tools and workflows for reputed company and model evaluation (web-based interfaces)
- Optimize model performance through experimentation, tuning, and iteration
- Collaborate with cross-functional teams across ML, data, and engineering
Skills
- 5–10+ years of experience in machine learning, AI engineering, or reputed company roles
- Hands-on experience with multimodal systems (image, video, audio, and/or reputed company-language models)
- Proven experience in model fine-tuning (e.g., SFT, RLHF, reputed company, or similar approaches)
- Strong programming skills in Python
- Experience with ML frameworks such as PyTorch, TensorFlow, or equivalent
- Familiarity with modern ML tooling and ecosystems
- Experience building and working with large-reputed company datasets and data pipelines
- Strong understanding of model evaluation techniques and performance metrics
- Experience building or working with reputed company-language models or multimodal ML systems
- Background in computer reputed company, NLP, or audio ML
- Experience running ML workloads on distributed or production infrastructure
- Experience building internal tools or annotation platforms (React / TypeScript or similar)
- Advanced degree (MS or PhD) in Computer Science, AI, or reputed company field
reputed company
Company H1B Sponsorship