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    Research Engineer - Bengaluru, India - QpiAI

    QpiAI
    QpiAI Bengaluru, India

    3 weeks ago

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    Description
    Research Engineer (Scientific Deep Learning)

    QpiAI is a deep tech startup pioneering next-generation computing platforms with vertical integration of AI and Quantum Computing. We are committed to accelerating 10x major advancements in drug and material design through our products and services. The ideal candidate must have deep expertise in applying deep learning techniques in Scientific Simulation Workflows.

    This position is integral to supporting the Company's growing array of products and appetite for scientific innovation. You will be a member of a multidisciplinary team working in a fast-paced startup environment.

    If you are motivated on building revolutionary technologies and enjoy working on ambitious projects, QpiAI is the right place for you.


    Qualifications and ExperienceBackground in Computer science, Physics, Chemistry, Mathematics, Statistics or a related field of knowledgeStrong publication record and/or open source contributions in scientific computingProficiency in Software development, collaborative development in pythonExperience in one or more following areas1.Fine-tuning/Integrating Domain specific Foundation Models in scientific simulations.2.

    Applying Graph Neural Networks for Molecular property Prediction, Dynamics Simulations or Generative Models3. Integrating scientific tools with LLM Agents4.Building AI accelerated workflows for high throughput screening for drugs/materialsIn-depth understanding and hands-on experience in SOTA deep learning algorithms such as Graph Neural Networks, Transformers, Diffusion Models etcProficiency with deep learning frameworks (PyTorch is preferable, TensorFlow, JAX)

    Desirable SkillsCan design research-grade ML experiments and ensure they can be run in a stable and repeatable mannerBroad understanding of intersection between AI and computational simulations and curiosity to build tooling around the sameExperience with MLOps best practicesExperience working with modern HPC and cloud environments


    Bonus PointsPhD/Post doc experience in applying deep learning techniques in one of the areas (Computational Drug Development, Material Design , Bioinformatics )Understanding about Quantum Computing and Quantum AlgorithmsExperience with chem/material informatics and related libraries like RDKit, PyMAtgenExposure to data orchestration and workflow engines like Airflow, Kubeflow, Flyte, or DagsterExperience with structured Software development, Docker, Cloud ComputingExperience managing/operating SLURM environmentExperience curating Domain Specific Datasets or BenchmarksExperience with RAG/Agentic workflows for scientific domain.

    Job ResponsibilitiesCo-lead the development and evaluation of the core pipelines, codebase, making advances in scientific applications. Our ideal candidate will be able to collaborate with domain scientists, and software engineers.
    Develop tools and workflows that can be integrated into commercial software productsTake ownership of client facing projects, development of Proof of Concepts, and scale it to production-ready solutions for large scale deploymentsTranslate scientific algorithms techniques and insights into commercial applications and drive measurable business outcomesParticipate in product roadmapping to build impactful AI-for-Science productsContribute to IP generation through Scientific publications, Patents, or software contributions

    We are looking for the right teammate with a shared vision and a passion to build really impactful technology. If you feel that you fit most of our requirements but not all, please don't hesitate to apply
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