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    AI/ML Engineer - San Francisco, United States - Unreal Gigs

    Unreal Gigs
    Unreal Gigs San Francisco, United States

    3 weeks ago

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    Description

    Job Description

    Job Description

    We're seeking exceptional engineers to drive our ambitious goals forward We need individuals with extraordinary skills who can thrive in our fast-paced environment and deliver consistently outstanding results.

    Requirements

    In this role, you will:

    • Elevate our retrieval-augmented generation (RAG) capabilities by ensuring efficient integration and utilization of diverse data sources.
    • Focus on enhancing embedding generation techniques, optimizing them for both accuracy and efficiency.
    • Stay updated on the latest advancements in AI models, understanding their evolving capabilities and complexities of integration. You'll become the team's go-to expert, assisting end-users in selecting the most suitable models for their use cases.
    • Collaborate closely with both backend and frontend teams to seamlessly integrate AI models into our products and services.
    • Prioritize customer needs and build strong relationships by actively engaging in customer support alongside other team members.

    You'll excel in this role if you have:

    • A Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.
    • Demonstrated expertise in machine learning and AI, particularly in generative models.
    • Proficiency in implementing retrieval-augmented generation pipelines.
    • Strong programming skills in Python and hands-on experience with popular machine learning frameworks like TensorFlow or PyTorch.
    • Familiarity with embedding techniques and their practical applications in AI models.
    • Exceptional problem-solving abilities and a track record of thriving in fast-paced environments.
    • Excellent communication and collaboration skills.

    You'll stand out if you also possess:

    • A PhD in a relevant field, showcasing your advanced expertise.
    • Published research or projects in generative AI, embeddings, or retrieval-augmented generation.
    • Experience with deploying large-scale ML models in production environments.
    • Contributions to open-source AI/ML projects, highlighting your proactive involvement in the community.
    • In-depth knowledge of generative AI hardware, including GPU architectures, requirements, and optimization techniques for AI model deployment.

    Benefits

    • Competitive salary package with performance-based bonuses
    • Stock options, allowing you to share in the company's success and growth
    • Comprehensive health insurance coverage for you and your dependents
    • Flexible work hours and the option for remote work, promoting work-life balance
    • Professional development opportunities, including access to conferences, workshops, and courses to enhance your skills
    • Wellness programs and fitness stipends to support your physical and mental well-being
    • Generous vacation and paid time off policies to encourage relaxation and rejuvenation
    • Company-sponsored social events and team-building activities to foster a positive work culture
    • Opportunities for career advancement and growth within the organization
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