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Senior/Principal Machine Learning Engineer, Performance DSP

PubMatic

Redwood City, California • Today

Full-time

USD 150,000.00 - 170,000.00 per year

Senior/Staff ML Engineer, ML Acceleration and Performance

Rivian

Palo Alto, California • Today

Full-time

USD 228,000.00 - 285,000.00 per year

Senior Principal Machine Learning Engineer

Cotiviti

Remote • Today

Full-time

USD 250,000.00 - 280,000.00 per year

Senior ML Performance Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 180,000.00 - 235,000.00 per year

Principal Machine Learning Engineer

Unity Microelectronics Inc.

Mountain View, California • Today

Full-time

USD 250,300.00 - 325,400.00 per year

Principal Machine Learning Engineer

PaloAlto Networks

Santa Clara, California • Today

Full-time

USD 163,200.00 - 264,000.00 per year

Principal Machine Learning Engineer

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 240,100.00 - 420,200.00 per year

Principal Machine Learning Engineer

Adobe Systems

San Jose, California • Today

Full-time

USD 206,400.00 - 379,100.00 per year

Principal Machine Learning System Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Senior Staff Machine Learning Engineer

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 201,300.00 - 352,300.00 per year

Sr. DSP Systems Engineer (Silicon Engineering)

SpaceX

Palo Alto, California • Today

Full-time

USD 175,000.00 - 280,000.00 per year

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Remote or Redwood City, California • Today

Full-time

USD 260,000.00 - 330,000.00 per year

Senior Staff Machine Learning Engineer

Sonatus

Sunnyvale, California • Today

Full-time

USD 227,000.00 - 300,000.00 per year

Principal Machine Learning Engineer

Atlassian Inc.

Remote or Mountain View, California • Today

Full-time

USD 236,700.00 - 309,025.00 per year

Staff / Principal Machine Learning Engineer, Serving - USA

Inworld AI

Mountain View, California • Today

Full-time

USD 270,000.00 - 500,000.00 per year

Senior Machine Learning Engineer

Unity Microelectronics Inc.

Mountain View, California • Today

Full-time

USD 188,200.00 - 244,600.00 per year

Senior Machine Learning Engineer

West Coast Consulting LLC

Sunnyvale, California • Today

Contract

USD 70.00 - 72.00 per hour

Senior Machine Learning Engineer

Apple, Inc.

Cupertino, California • Today

Full-time

Sr. Machine Learning Engineer

6sense

San Francisco, California • Today

Full-time

USD 200,349.50 - 260,912.60 per year

Senior Machine Learning Engineer

Checkr

San Francisco, California • Today

Full-time

USD 207,000.00 - 244,000.00 per year

Senior Machine Learning Engineer - Perception

Bonsai

San Jose, California • Today

Full-time

USD 150,000.00 - 220,000.00 per year

Senior Machine Learning Engineer

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Senior Machine Learning Engineer

Warner Bros. Discovery

San Francisco, California • Today

Full-time

USD 159,180.00 - 295,620.00 per year

Senior Machine Learning Engineer

Adobe Systems

San Francisco, California • Today

Full-time

USD 172,500.00 - 306,625.00 per year

Sr. Machine Learning Engineer

General Motors

San Francisco, California • Today

Full-time

USD 174,900.00 - 250,200.00 per year

Senior Machine Learning Engineer

EvenUp Inc

San Francisco, California • Today

Full-time

USD 196,000.00 - 265,000.00 per year

Senior Machine Learning Engineer

Adobe Systems

San Jose, California • Today

Full-time

USD 151,800.00 - 265,350.00 per year

Senior Machine Learning Engineer

Attentive

San Francisco, California • Today

Full-time

USD 244,000.00 - 320,000.00 per year

Principal Machine Learning Engineer

Vail Resorts

Remote • Today

Full-time

USD 140,000.00 - 185,000.00 per year

Job Details

Skills

Algorithms
Real-time
Exceed
KPI
Video
ADS
Boost
Return On Investment
Product Engineering
Modeling
Digital Signal Processing
Workflow
Mobile Advertising
Advertising
Optimization
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Computer Science
Mathematics
Law
Collaboration
Innovation
Productivity
Health Care
Insurance
Life Insurance
Finance
SAP BASIS

Summary

Sr. Machine Learning Engineer/ Principal Machine Learning Engineer, Performance DSP

Location: Redwood City, California, United States (Hybrid)

At PubMatic, we're transforming the mobile advertising landscape with cutting-edge solutions that help buyers and developers succeed. Our team is passionate about building high-performance, innovative products that make a real impact. If you're excited about solving complex challenges, shaping the future of ad tech, and working with brilliant minds, we'd love to have you on board!

Job Description:

We are looking for a Lead Machine Learning Engineer with deep expertise in Performance advertising and a proven track record of architecting high-performance solutions that drive campaign success. Leveraging your strategic understanding of Performance DSP workflows, you will design cutting-edge algorithms and systems to optimize real-time bidding strategies, exceed advertiser KPIs, and maximize ROI ultimately increasing performance-driven spend on the PubMatic platform.

Responsibilities:

Architect and develop advanced features to shape Performance DSPs, optimizing ad formats such as interstitial video, rewarded video, and display ads.

Design PubMatic's product offering to boost auction efficiency and align with Performance DSP workflows and expectations ensuring seamless integration, higher ROI for advertisers, and increase the DSP spend on the platform.

Leverage machine learning and data-driven insights to enhance bid efficiency, campaign performance, and ad delivery strategies.

Collaborate with cross-functional teams including Product, Engineering, and the CTO team to align technical solutions with Performance DSP goals.

Optimize attribution tracking, user value modelling, and ML-driven performance enhancements to maximize campaign impact.

Qualifications:

5+ years of engineering experience at a Performance DSP, coupled with a deep understanding of programmatic advertising workflows, RTB, audience targeting, and bid strategies.

Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies.

Strong expertise in Machine Learning, Ad-Server/Bidder architecture and Gen-AI.
BS or MS degree in Computer Science or Mathematics

Compensation and Benefits:

Base Salary Range: $150,000 - $170,000

In accordance with applicable law, the above salary range provided is PubMatic's reasonable estimate of the base salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units and a competitive benefits package.

Additional Information

Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile, and fully stocked pantries plus in-office catered lunches 5 days per week.

Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Position Description

a

Responsibilities:

Requirements:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX16960c
Position Id: cb8248efef9c1a01dd2c9e7e7046a504
Posted 30+ days ago

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Job Details

Skills

Algorithms
Real-time
Exceed
KPI
Video
ADS
Boost
Return On Investment
Product Engineering
Modeling
Digital Signal Processing
Workflow
Mobile Advertising
Advertising
Optimization
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Computer Science
Mathematics
Law
Collaboration
Innovation
Productivity
Health Care
Insurance
Life Insurance
Finance
SAP BASIS

Summary

Architect and develop advanced features to shape Performance DSPs, optimizing ad formats such as interstitial video, rewarded video, and display ads.

Design PubMatic's product offering to boost auction efficiency and align with Performance DSP workflows and expectations ensuring seamless integration, higher ROI for advertisers, and increase the DSP spend on the platform.

Leverage machine learning and data-driven insights to enhance bid efficiency, campaign performance, and ad delivery strategies.

Collaborate with cross-functional teams including Product, Engineering, and the CTO team to align technical solutions with Performance DSP goals.

Optimize attribution tracking, user value modelling, and ML-driven performance enhancements to maximize campaign impact.

Qualifications:

5+ years of engineering experience at a Performance DSP, coupled with a deep understanding of programmatic advertising workflows, RTB, audience targeting, and bid strategies.

Deep understanding of mobile advertising ecosystems, advertising SDKs, and optimization strategies.

Strong expertise in Machine Learning, Ad-Server/Bidder architecture and Gen-AI.
BS or MS degree in Computer Science or Mathematics

Dice Id: RTX16960c
Position Id: cb8248efef9c1a01dd2c9e7e7046a504
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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