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  • Published on

    Acceler8 Talent is looking for a Machine Learning Engineer to develop and evaluate extensive systems involving interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for model training, optimize models, and devise search algorithms, working within the engineering constraints of latency and inference costs. Success in this role requires strong NLP understanding, proficiency in PyTorch, and a passion for innovation in AI-driven hardware design.

  • Published on

    Machine Learning Engineer

    Acceler8 TalentSunnyvale, US

    Acceler8 Talent is looking for a Machine Learning Engineer to transform hardware engineering with advanced models designed to improve design processes. You will develop and evaluate systems combining LLMs, NLP models, and retrieval algorithms, while addressing engineering constraints such as latency and cost. Strong understanding of NLP and proficiency in PyTorch is required.

  • Published on

    Machine Learning Engineer

    Acceler8 TalentSan Francisco Bay Area, US

    Acceler8 Talent is looking for a Machine Learning Engineer who will play a pivotal role in advancing hardware engineering with innovative AI models. Responsibilities include developing interconnected LLMs and NLP models, along with optimizing complex algorithms to redefine hardware design processes. The ideal candidate should possess strong skills in PyTorch and a robust understanding of advanced machine learning and data engineering principles.

  • Published on

    Machine Learning Engineer

    Acceler8 TalentSan Mateo, US

    Acceler8 Talent is looking for a Machine Learning Engineer to join our innovative team. In this role, you will play a crucial part in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will be responsible for structuring data for training complex models, optimizing models under various constraints, and designing innovative search and retrieval algorithms. The ideal candidate will have a strong understanding of NLP and LLMs, a proven track record in data engineering and AI, along with proficiency in PyTorch. This role offers opportunities for professional growth and the chance to work in a collaborative environment focused on AI integration in hardware engineering.

  • Published on

    Acceler8 Talent is looking for a Machine Learning Engineer to join our innovative team, where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. You will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. The ideal candidate should have a strong understanding of NLP and LLMs, strong proficiency in PyTorch and a proven track record of exceptional data engineering and AI capabilities.

  • Published on

    Machine Learning Engineer

    Acceler8 TalentFremont, US

    Acceler8 Talent is looking for a Machine Learning Engineer to join their innovative team. The successful candidate will develop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. Key responsibilities include structuring data for training complex models, optimizing models under various constraints, and designing innovative search algorithms. Required skills include strong understanding of NLP and LLMs, proficiency in PyTorch, experience in AI roles at leading companies, and a passion for solving challenging problems.

  • Published on

    TikTok is looking for a Machine Learning Engineer specializing in Trust and Safety with solid experience in designing and deploying state-of-the-art models related to NLP and CV. The role involves building industry-leading content safety systems, developing scalable classifiers and tools, and collaborating with cross-functional teams to enhance TikTok's safety strategy.

  • Published on

    Meta is looking for a Software Engineer (Leadership) - Machine Learning to join our team. The ideal candidate will have industry experience working on various classification and optimization problems. Responsibilities include developing scalable classifiers leveraging machine learning and collaborating with leaders to improve team performance. The candidate should possess significant experience in programming languages and mentoring engineers.