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

    Unreal Gigs
    Unreal Gigs San Francisco, United States

    1 week ago

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    Description

    Job Description

    Job DescriptionOverview

    Join our dynamic team as a Machine Learning Engineer to pioneer solutions that transform industries. Your role involves developing sophisticated machine learning models and deploying scalable AI systems. You'll be at the forefront of innovation, turning visionary ideas into reality.

    Responsibilities

    Design, develop, and deploy advanced machine learning models to address key business challenges.
    - Collaborate with data scientists and engineers to integrate AI solutions into our products and services.
    - Optimize AI systems for performance and scalability.
    - Evaluate and incorporate new machine learning algorithms and frameworks to enhance our solutions.
    - Conduct ongoing testing and maintenance to ensure the robustness of AI applications.

    Requirements

    Qualifications

    Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
    - Experience in machine learning, neural networks, or deep learning, with a track record of deploying models in production environments.
    - Proficiency in programming languages such as Python, Java, or C++ and ML frameworks like TensorFlow or PyTorch.
    - Strong understanding of algorithms, data structures, and software engineering principles.
    - Excellent problem-solving, analytical, and technical skills.

    Benefits

    • Unlimited Paid Time Off (PTO): Encourages work-life balance and shows trust in your employees to manage their time effectively.
    • Professional Development Fund: Allocate a certain budget for each employee to attend conferences, workshops, or courses of their choice, fostering continuous learning and growth.
    • Remote Work Options: Even post-pandemic, the flexibility to work from anywhere can be a huge draw for talent who value the ability to travel or prefer not to relocate.
    • Wellness Programs: Offer subscriptions to mental health apps, fitness memberships, or even in-office wellness activities like yoga and meditation sessions.
    • Pet-Friendly Workplace: Allow employees to bring their pets to work, reducing stress and promoting a more relaxed atmosphere.
    • Tech Stipend: Provide a budget for employees to set up or upgrade their home office setup, ensuring they have the tools they need to succeed.
    • Four-Day Work Week: Implement a condensed workweek to promote productivity and work-life balance.
    • Parental Support: Offer generous parental leave policies, childcare assistance, or even on-site childcare services.
    • Sabbatical Leave: Allow employees to take an extended leave of absence after a certain period of employment to travel, pursue personal projects, or simply recharge.
    • Equity or Stock Options: Give employees a stake in the company's success, aligning their interests with the company's long-term goals.
    • Transportation and Parking Benefits: Provide subsidies for public transportation, electric vehicle charging stations, or free parking to ease the commute.
    • Customized Career Pathing: Work with employees to design personalized career development plans, acknowledging their unique strengths and ambitions.
    • Health and Safety: Offer comprehensive health insurance, including mental health coverage, and ergonomic workplace assessments to ensure physical well-being.
    • Food and Snacks: Provide free meals, a well-stocked kitchen, or food allowances, especially for teams working late or in crunch times.
    • Team Retreats and Offsites: Organize annual retreats in exciting locales to build team cohesion and reward hard work.
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