Tech Lead Machine Learning Engineer

Hireio, Inc.; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

An innovative company is seeking seasoned engineers to join their Brand Ads Team. This role offers the chance to work on cutting-edge technologies that drive business growth through advanced advertising solutions. You'll be involved in creating innovative monetization products, developing large-scale Ads systems, and leveraging Machine Learning for algorithm enhancement. Collaborating with global engineering teams, you will contribute to high-impact projects in a fast-paced environment. If you have a passion for problem-solving and a knack for algorithms, this role could be your next big opportunity.

Qualifications

• 7+ years of experience in relevant fields with a BS in Computer Science or Engineering.
• Strong programming skills in languages like Go, C/C++, and Python.

Responsibilities

• Create monetization products that enhance engagement and revenue.
• Develop large-scale Ads systems and algorithms using Machine Learning.

Skills

Problem-solving skills

Algorithm understanding

Programming in Go

Programming in C/C++

Programming in Python

Machine Learning

Data mining

Data analysis

NLP

CV technology

Education

BS degree in Computer Science

BS degree in Computer Engineering

Tools

Machine Learning frameworks

Deep Learning frameworks

Data science tools

Job description

The Brand Ads Team builds technologies that unlock business growth potential. This team owns several ads products: reservation ads, auction ads, and innovative content ads that enable advertisers and users to foster more awareness of their brand to attain their business goals. We work on the end-to-end ads delivery tech stack, including ads bidding, ranking, and forecasting. We are looking for seasoned engineers that have strong problem-solving skills and algorithm understanding to build and manage systems with high performance, scalability, and availability. You will have the opportunity to partner closely with global engineering and product teams in a high-impact and fast-paced environment.

What you'll do:

1. Create innovative monetization products that drive engagement and revenue.
2. Participate in the development of a large-scale Ads system.
3. Participate in the development and iteration of Ads algorithms by using Machine Learning.
4. Work on NLP and CV related technology for content understanding and taxonomy.
5. Contribute to the success of a rapidly growing and evolving organization with speediness and quality.

Qualifications:

1. BS degree in Computer Science, Computer Engineering, or other relevant majors, with 7+ years of related work experience.
2. Excellent programming, debugging, and optimization skills in one or more general-purpose programming languages including but not limited to: Go, C/C++, Python.
3. Ability to think critically and to formulate solutions to problems in a clear and concise way.
4. Relevant professional experience with machine learning, data mining, data analysis, and distribution systems.
5. Good understanding in one of the following domains: brand ads, content ads, auction, bidding, ranking, and ads forecasting.
6. Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
7. Good product sense and experience designing and implementing product features.