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    Machine Learning Engineer - San Diego, United States - Unlimit Ventures

    Unlimit Ventures
    Unlimit Ventures San Diego, United States

    1 week ago

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    Description

    Please note - this is an evergreen role

    As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. You will collaborate with cross-functional teams, work on challenging projects, and work building one of our new exciting products in the environmental devices industry. This role is a contractor role, with strong opportunities for permanent hiring and growth.

    If you have a strong foundation in machine learning frameworks, data manipulation, and model optimization, and are eager to apply your skills in a fast-paced, innovative environment, we would love to hear from you.

    Our values:

    • Prudent optimism glass-half-full, with a dose of caution to challenge our assumptions.
    • Intrinsic motivation driven by autonomy, goal clarity, and regular feedback.
    • Commit to desired outcomes define desired outcomes and achieve them vigorously.
    • No egos, no jerks no joke.

    **

    **

    You will be responsible for:

    • Expertise in ML frameworks and common ML libraries (TensorFlow, Keras, PyTorch, etc.).
    • Expertise in data manipulation and analysis skills. Should be comfortable with affiliated libraries (Pandas, NumPy, SciPy, etc.).
    • Understanding of a wide range of ML algorithms (SVMs, neural networks, clustering algorithms, etc.) and ensemble methods.
    • Experience with selecting appropriate models for various tasks, and understanding of how to improve models given their performance evaluations.
    • Expertise in feature selection, feature extraction, and feature engineering.
    • Deep learning expertise (knowledge of designing and implementing multiple neural network architectures, experience with transfer learning techniques, proficiency in tuning hyperparameters).
    • Data science skills (data analytics and visualization).

    Qualifications:

    • 3 years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar
    • Experience with device development, robotics preferred
    • Strong understanding of data structures or algorithms
    • Familiar with hybrid models that integrate multiple data sources
    • Experienced with FCNNs (fully connected neural networks) and pre-trained CNNs
    • Comfortable with feature engineering, especially for unconventional classification models
    • Experienced with a wide range of modeling approaches such as SVMs and clustering algorithms

    Preferred skills:

    • Experience taking ideas from inception to launch
    • Understanding of product market fit, user experience, analytics, metrics and testing
    • Experience working with highly scalable, fault-tolerant, secure and compliant architecture and systems
    • Strong communication skills and bias for action
    • Familiar with holographic data processing

    **

    **

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