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Senior Mandarin Engineer Jobs (NOW HIRING)

Keylent Inc

Sr software Engineer

Wilmington, DE

$101K - $139K/yr

Sr Software Engineer The Desk Side Support Executive is responsible for effective provisioning ... Proficiency in the Mandarin Language for user communication * Average knowledge of English for all ...

BloKchain Talent

Senior Web DevOps Engineer

Tempe, AZ · On-site

$126K - $162K/yr

Senior Web DevOps Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No ... Mandarin communication would be a plus * BS degree in a related field, MS preferred Good to have:

BloKchain Talent

Senior Web DevOps Engineer

Tempe, AZ · On-site

$126K - $162K/yr

Senior Web DevOps Engineer LOCATION: Phoenix AZ SALARY: Based on Experience SPONSORSHIP : No ... Mandarin communication would be a plus * BS degree in a related field, MS preferred Good to have:

OMNIVISION

Sr. Product Engineer

Santa Clara, CA · On-site

$110K - $140K/yr

For existing products, the senior product engineer will maintain and sustain technical support and ... Mandarin speaking proficiency (both spoken and written), strongly preferred due to daily ...

OMNIVISION

Sr. Product Engineer

Santa Clara, CA

$110K - $140K/yr

For existing products, the senior product engineer will maintain and sustain technical support and ... Mandarin speaking proficiency (both spoken and written), strongly preferred due to daily ...

OMNIVISION

Sr. Product Engineer

Santa Clara, CA

For existing products, the senior product engineer will maintain and sustain technical support and ... Mandarin speaking proficiency (both spoken and written), strongly preferred due to daily ...

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All JobsMandarin Engineer JobsSenior Mandarin Engineer Jobs

Senior Mandarin Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do senior mandarin engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for senior mandarin engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Mandarin Engineer vs Mandarin Software Developer?

AspectSenior Mandarin EngineerMandarin Software Developer
Required CredentialsBachelor's or higher in Engineering, certifications in Mandarin language proficiencyBachelor's in Computer Science or related field, programming certifications
Work EnvironmentEngineering teams, manufacturing or technical settings, multinational companiesSoftware development teams, tech companies, IT departments
Employer & Industry UsageEngineering firms, manufacturing, tech companies requiring Mandarin language skillsSoftware firms, tech startups, IT service providers

The Senior Mandarin Engineer typically focuses on engineering projects requiring Mandarin language expertise, while the Mandarin Software Developer concentrates on coding and software development with Mandarin language considerations. Both roles may overlap in multinational companies but differ mainly in their core responsibilities and industry focus.

More about Senior Mandarin Engineer jobs
What cities are hiring for Senior Mandarin Engineer jobs? Cities with the most Senior Mandarin Engineer job openings:
What are the most commonly searched types of Mandarin Engineer jobs? The most popular types of Mandarin Engineer jobs are:
What states have the most Senior Mandarin Engineer jobs? States with the most job openings for Senior Mandarin Engineer jobs include:
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Senior Mandarin Engineer jobs near you
Infographic showing various Senior Mandarin Engineer job openings in the United States as of May 2026, with employment types broken down into 10% Full Time, 80% Part Time, and 10% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.
Senior Machine Learning Engineer (Mandarin speaking)

Senior Machine Learning Engineer (Mandarin speaking)

Moloco

Menlo Park, CA • On-site

$123K - $169K/yr

Other

Posted 2 days ago

Job description

The Impact You'll Be Contributing to Moloco:

As a Senior Machine Learning Engineer on Moloco's Ads Quality team, you'll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco's ad platform.

The Opportunity:

  • Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
  • Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements
  • Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
  • Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
  • Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency
  • Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams
  • Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results
  • Mentor engineers on best practices for ML experimentation, productionization, and scaling
  • Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals

How Do I Know if the Role is Right For Me?

  • You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
  • You've shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
  • You're fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
  • You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)
  • You're experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
  • You've worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
  • You understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
  • You have experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
  • You thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes
  • You value collaboration, accountability, and building systems that scale across teams and markets

Apply