04. Senior Machine Learning Engineer, Brand Ads -US

Hireio, Inc.; Mountain View (CA); On-site; USD 90,000 - 160,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to join their innovative Brand Ads team. In this role, you'll leverage cutting-edge technologies in machine learning and NLP to enhance ad optimization and drive engagement for brands. You'll collaborate with cross-functional teams, develop sophisticated algorithms, and contribute to the growth of a global leader in short-form mobile video. With a focus on creativity and personal development, this company offers a dynamic work environment that values innovation and work-life balance. If you're passionate about pushing the boundaries of technology in advertising, this opportunity is perfect for you.

Benefits

Competitive Salaries

Bonus Opportunities

RSUs

Sign-on Bonuses

Work-Life Balance

Casual Work Culture

Career Growth Opportunities

Qualifications

• 5+ years of experience in Machine Learning or Applied Science.
• Strong proficiency in Python, C++, or Go.

Responsibilities

• Develop and optimize forecasting models for ad spend efficiency.
• Design machine learning algorithms for ad optimization.

Skills

Machine Learning

Software Engineering

Deep Learning

Natural Language Processing (NLP)

Python

C++

Go

Education

Bachelor's in Computer Science

Master's in Computer Science

Tools

Machine Learning Algorithms

Ranking Systems

Ad Technologies

Job description

About the Role:
We are seeking aSenior Machine Learning Engineerto join a global leader in short-form mobile video and digital advertising. TheBrand Ads teamis integral to the company’s revenue generation, building sophisticated ad products and systems to drive engagement for brands and advertisers. You’ll be working with cutting-edge technologies likemachine learning,NLP, andranking algorithms, in a dynamic, collaborative environment.

What You'll Do:

• Develop and optimizeforecasting modelsto improve ad spend efficiency.
• Design and implementmachine learning algorithmsforad optimization, including ranking and personalization.
• Work withNLPandCVtechnologies to enhance content understanding for targeted ads.
• Collaborate with cross-functional teams to build and scale innovative ad systems.
• Contribute to the company’s continued growth by optimizing large-scale systems and algorithms.

Why Work Here?

• Industry Leader: The company is a global leader inshort-form mobile video, offering a platform with massive engagement across millions of users worldwide.
• Innovation: A culture built oncreativity,growth, andinnovation, where engineers have the opportunity to work on cutting-edge technologies inads,machine learning,NLP,ranking, and more.
• Career Growth: With a focus onpersonal development, the company provides a dynamic, fast-paced environment where you can grow as both an engineer and a leader.
• Work-Life Balance: Known for acasual work culture, the company fosters a9-to-5, relaxed yet highly productive work environment, where individual autonomy is encouraged.
• Compensation: Competitive salaries with additional benefits includingbonus,RSUs, and potentialsign-on bonuses, making it a highly rewarding place to work.

Minimum Requirements:

• Location: Can accepted working at any office in the US, onsite work.
• 5+ years of experience inMachine Learning,Software Engineering, orApplied Science.
• Strong proficiency inPython,C++, orGo.
• Expertise inMachine Learning,Deep Learning,NLP,ads forecasting,ranking systems, orrecommendation systems.
• Experience inads technologieslikebidding,auction systems, orad delivery.
• BSorMSinComputer Science,Engineering, or related fields.