Trình quản lý máy học

Biểu tượng
Biểu tượng Bóng đèn
Biểu tượng
Biểu tượng Ngón tay cái lên
Biểu tượng
Biểu tượng Câu đố
Người sáng tạo
Người thuyết phục
Người giải quyết vấn đề
Dịch vụ Tài chính Ngân hàng
Chính phủ, Phi lợi nhuận & Dịch vụ công cộng
Y tế
Sản xuất
Các dịch vụ chuyên nghiệp khác
Công nghệ
SpotlightsFactsGiáo dụcHạ cánh nguồncấp tin tức việc làm

Spotlights

Tiêu đề tương tự

AI Manager, Data Science Manager, Analytics Manager, Artificial Intelligence Manager, Data Engineering Manager

Mô tả công việc

Ever since computers were first created, programmers have wanted them to be able to think for themselves. In fact, there’s an entire field of data science called machine learning dedicated to that goal! 

As IBM explains, “Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.” 

Once confined to the realm of science fiction, today thousands of companies are heavily invested in AI and machine learning—with dedicated teams working hard to develop the technology further. These teams require the focused leadership of experienced Machine Learning Managers who understand their companies’ business objectives and know how to coach teams to succeed.

Các khía cạnh bổ ích của sự nghiệp
  • Working with teams on the cutting edge of technology
  • Developing programs to boost efficiency and meet business goals
  • Competitive compensation and great opportunities for skills development
Mức lương trung bình
$88,393
Tin sốt dẻo bên trong
Trách nhiệm công việc

Lịch làm việc

  • Machine Learning Managers work full-time jobs, typically with nights, weekends, and holidays off, though overtime may be occasionally needed.

Nhiệm vụ tiêu biểu

  • Look for areas where machine learning (ML) can be applied to existing projects and processes
  • Meet with company leadership and teams to explain concepts, propose strategies, and review potential impacts and benefits
  • Create a machine learning roadmap listing processes and problems, as well as the math, resources, and tools to be used
  • Implement ML initiatives according to the schedule 
  • Lead ML teams which may include data scientists, engineers, and programmers
  • Boost user awareness of how ML is being adopted and what changes they may need to know about
  • Work with mobile device management teams as needed to ensure new data strategies are implemented efficiently
  • Generate and deploy algorithms capable of extracting useful information from large data sets
  • Objectively assess different methodologies and their results
  • Use programming languages and tools like Python, R, and TensorFlow
  • Develop automated processes for predictive model validation

Trách nhiệm bổ sung

  • Work with partner businesses as directed to share knowledge, insights, or information about changes
  • Build strong external partnership networks to enhance learning
  • Train or mentor team members and assistant managers
Các kỹ năng cần thiết trong công việc

Kỹ năng mềm

  • Phân tích
  • Sự nhạy bén trong kinh doanh
  • Kỹ năng giao tiếp
  • Dứt khoát
  • Định hướng chi tiết
  • Đạo đức
  • Độc lập 
  • Kỹ năng lãnh đạo
  • Mục tiêu
  • Tổ chức
  • Kiên nhẫn 
  • Giải quyết vấn đề
  • Làm việc theo nhóm

Kỹ năng kỹ thuật

Các loại hình tổ chức khác nhau
  • Consulting firms
  • E-commerce/retail stores
  • Financial sector
  • Cơ quan chính phủ
  • Healthcare and pharmaceutical companies
  • Sản xuất
  • Research institutions
  • Tech companies
Kỳ vọng và hy sinh

Machine Learning Managers are expected to be at the peak of their game, and ready to effectively lead teams to meet ML-related organizational goals. 

They must be creative, ethical, and forward-thinking, able to find and exploit all opportunities to integrate and leverage ML capabilities and boost performance. In this era of high-tech competitiveness, companies that fail to stay on top of trends may quickly fall behind and lose customers.

Xu hướng hiện tại

Machine learning is evolving rapidly and there are several notable trends to keep track of. Among them is the advancement of deep learning and deep neural networks inspired by the interconnected network of neurons in the human brain. Reinforcement learning is also a hot trend in robotics, training programs (aka agents) to interact with environments via trial and error. 

As ML models become more complex, researchers must pay attention to ethical considerations and how ML models make decisions. Other trends include concepts like federated learning, transfer learning and pre-trained models, AutoML, edge computing, and on-device ML—each of which Machine Learning Managers need to learn about to stay up-to-date! 

Những người trong sự nghiệp này thích làm những điều gì khi họ còn trẻ...

Machine Learning Managers were probably in love with technology at an early age. They may have been interested in math, computer coding, and programming languages. They likely also enjoyed analytical problem-solving or even reading about the impacts of technology on businesses. 

Teamwork is an important part of this career field, but Machine Learning Managers are leaders who must be willing to act when there is disagreement. It’s their job to ensure appropriate ML behavior and decision-making. This ability to lead could have developed through extracurricular activities at school.   

Giáo dục và đào tạo cần thiết
Những điều cần tìm kiếm ở một trường đại học
  • Students should seek colleges offering majors in data science, computer science, artificial intelligence, or machine learning
  • Look for programs that have internships or other opportunities where you can gain practical experience, especially related to AI and ML
  • Consider applying to a dual BS/MS program to save time on completing your master’s
  • Decide if you want to do online or hybrid courses
  • Luôn luôn so sánh chi phí học phí và các khoản phí khác. Xem xét các lựa chọn của bạn cho học bổng và hỗ trợ tài chính
  • Xem liệu chương trình có bất kỳ quan hệ đối tác nào với các công ty thuê sinh viên tốt nghiệp không! 
  • Lưu ý thống kê tốt nghiệp và giới thiệu việc làm cho cựu sinh viên 
Hoạt động giải trí ở trường trung học và đại học
  • High school students should take courses in math (including differential calculus), English, communications, and information technology (especially AI and ML, if possible)
  • High school students who don’t have access to AI/ML courses can study on their own to start building a foundation. Consider joining or forming a computer club!
  • Knowledge of Python and SQL will come in handy later, and these can also be learned through self-study
  • Apply for a bachelor’s program in computer or data science or a related field, with a focus on machine learning. Consider applying to a dual BS/MS program to save time on completing your master’s
    • A master’s degree may not be necessary for every position but it can boost your credentials and may enable you to apply for better-paying starting positions
  • Look for part-time jobs where you can rack up relevant work experience. You’ll need years of experience to be considered for a managerial position (including experience supervising others and leading teams)
  • Apply for relevant internships, through your school or on your own
  • Read magazines and website articles related to machine learning. Consider doing ad hoc courses via Coursera or other sites for more structured learning
  • Request an informational interview with a working Machine Learning Manager 
Lộ trình điển hình
Machine Learning Manager Roadmap
Làm thế nào để đạt được công việc đầu tiên của bạn
  • Check out job portals like Indeed.com, LinkedIn, Glassdoor, Monster, CareerBuilder, SimplyHired, or ZipRecruiter
  • Don’t expect to start at a managerial level! Unless you already have a few years of relevant work experience, you’ll need to apply to entry-level positions first
  • Consider relocating close to a tech hub city like Austin, Dallas, Raleigh, San Jose, or Charlotte 
  • Stay in touch with classmates and use your network to get job tips. Most jobs are still found through personal connections 
  • Hỏi người hướng dẫn, người giám sát cũ và / hoặc đồng nghiệp của bạn nếu họ sẵn sàng phục vụ như là tài liệu tham khảo cá nhân. Không cung cấp thông tin liên hệ cá nhân của họ mà không có sự cho phép trước
  • Check out some Machine Learning-related resume examples and sample interview questions, including basics like “What Are the Different Types of Machine Learning?” or more advanced topics such as “How Will You Know Which Machine Learning Algorithm to Choose for Your Classification Problem?”
  • Practice doing mock interviews with your school’s career center (if they have one)
  • Dress appropriately for interviews and show your enthusiasm for and knowledge of the AI/ML field 
Làm thế nào để leo lên thang
  • It takes years of education and work experience to work your way up to becoming a Machine Learning Manager. Once you’re there, you’re already pretty high up, but there are still opportunities for advancement and salary increases
  • Higher-level job titles include Senior Machine Learning Manager and Director of Machine Learning or Head of Machine Learning
  • Managers may also seek out cross-functional leadership or industry specialization roles. Some opt to switch to pure research and development positions 
  • Let your supervisor know you’re interested in career progression and ask for their advice
  • Most ML Managers have a graduate degree, but for those who don’t, earning a master’s will be a great way to boost credentials and qualifications
  • Add value to the organization by incorporating ML wherever it can be of use. Communicate with leadership and stakeholders to ensure ML objectives and benefits are understood  
  • Lead teams effectively and ensure projects are kept on schedule and on-budget
  • Keep track of AI and ML trends and challenges. Stay up-to-date on the newest software
  • For those working at smaller organizations, you may have to apply to work for a larger or different type of organization to make a bigger paycheck or reach higher career goals
    • For example, managers who work for governmental agencies may earn a more lucrative salary at a private tech company
  • Completing advanced third-party certifications can be helpful, too. Options include:
  • Of course, ML Managers with a strong business background may thrive as entrepreneurs who launch their own AI or ML-related businesses instead of working for someone else! 
    • Consider Stanford professor Andrew Ng, a prominent ML entrepreneur and co-founder of Coursera and Google Brain, who has a net worth of ~$122 million!
Công cụ / Tài nguyên được đề xuất

Các trang web

Sách vở

Kế hoạch B

Machine Learning is a fascinating field but it takes years of education and work experience to qualify for a manager position. There are numerous related career options to consider, some of which may require less time to qualify for. By the same token, a few of these roles may serve as a stepping stone to becoming an ML Manager later!  

  • Kỹ sư nhắc nhở AI
  • Kỹ sư dữ liệu lớn
  • Nhà phát triển Business Intelligence
  • Lập trình viên máy tính
  • Nhà phân tích hệ thống máy tính
  • Kiến trúc sư cơ sở dữ liệu
  • Nhà khoa học dữ liệu
  • Chuyên viên phân tích bảo mật thông tin
  • Nhà toán học
  • Kỹ sư học máy
  • Kỹ sư robot
  • Kiến trúc sư phần mềm
  • Nhà phát triển web

Nguồn cấp tin tức

Công việc nổi bật

Các khóa học và công cụ trực tuyến