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    Machine Learning Engineer - San Francisco, United States - Unreal Gigs

    Unreal Gigs
    Unreal Gigs San Francisco, United States

    1 day ago

    Default job background
    Full time
    Description

    About the Company:

    Join a leading team in the industry as a Machine Learning Engineer and be part of groundbreaking efforts that redefine sectors. This role focuses on creating advanced machine learning models and implementing scalable AI systems. You will play a pivotal role in driving innovation and materializing visionary concepts.

    Responsibilities:

    • Design, develop, and deploy cutting-edge machine learning models to tackle significant business obstacles.
    • Collaborate with data scientists and engineers to incorporate AI solutions into products and services.
    • Optimize AI systems for enhanced performance and scalability.
    • Evaluate and adopt new machine learning algorithms and frameworks to elevate solutions.
    • Conduct continual testing and upkeep to ensure the resilience of AI applications.

    Requirements:

    • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
    • Proven experience in machine learning, neural networks, or deep learning, with a history of deploying models in real-world environments.
    • Proficiency in programming languages like Python, Java, or C++ and ML frameworks such as TensorFlow or PyTorch.
    • Comprehensive understanding of algorithms, data structures, and software engineering principles.
    • Exceptional problem-solving, analytical, and technical aptitude.

    Benefits:

    • Unlimited Paid Time Off (PTO): Promotes work-life balance and demonstrates trust in employees to manage their time efficiently.
    • Professional Development Fund: Allocates a designated budget for each employee to partake in conferences, workshops, or courses of their choosing, fostering ongoing learning and development.
    • Remote Work Options: Beyond the current circumstances, the flexibility to work from any location can be highly appealing to individuals valuing travel opportunities or those preferring not to relocate.
    • Wellness Programs: Provides access to mental health apps, fitness subscriptions, or wellness activities like yoga and meditation sessions within the workplace.
    • Pet-Friendly Workplace: Permits employees to bring their pets to work, reducing stress and creating a more relaxed environment.
    • Tech Stipend: Supplies a budget for employees to establish or upgrade their home office setup, ensuring they possess the necessary tools for success.
    • Four-Day Work Week: Implements a condensed work schedule to enhance productivity and work-life harmony.
    • Parental Support: Offers generous parental leave policies, childcare assistance, or on-site childcare services.
    • Sabbatical Leave: Enables employees to take an extended break after a certain tenure for travel, personal endeavors, or relaxation.
    • Equity or Stock Options: Grants employees a share in the company's achievements, aligning their interests with long-term objectives.
    • Transportation and Parking Benefits: Provides subsidies for public transport, electric vehicle charging spots, or parking facilities, simplifying the commute.
    • Customized Career Pathing: Collaborates with employees to craft tailored career growth strategies, recognizing individual strengths and aspirations.
    • Health and Safety: Offers comprehensive health coverage, including mental health benefits, and ergonomic evaluations to ensure physical well-being.
    • Food and Snacks: Offers complimentary meals, a well-stocked kitchen, or food allowances, particularly useful for teams working late hours or during busy periods.
    • Team Retreats and Offsites: Organizes annual retreats in exciting destinations to cultivate team unity and acknowledge hard work.
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