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Machine Learning Jobs in Philadelphia, NY (NOW HIRING)

Senior Performance Advertising Engineer

Redwood, NY · Hybrid

$101K - $138K/yr

Experience deploying production-grade Machine Learning frameworks for CTR/CVR prediction. * Strong system-level performance benchmarking skills (profiling memory allocation, reducing I/O bottlenecks.

Line Technician - Utility Floater

Lowville, NY

$18.75 - $23.75/hr

Sanitation - Will ensure that the equipment and machinery he/she works with is cleaned and ... We offer events, resources, and learning opportunities that inspire aphysical, social, emotional ...

Our learning and development opportunities are industry leading, and the formula for our success is ... machinery operation Mechanical aptitude based on past experience around equipment, motors ...

Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ... Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

... fax machines, computers, CCTV surveillance system, key cutter, panel saw, paint mixer, flooring ... Plus, we offer learning and development opportunities to help our associates grow their skills and ...

... fax machines, computers, CCTV surveillance system, key cutter, panel saw, paint mixer, flooring ... Plus, we offer learning and development opportunities to help our associates grow their skills and ...

Process Owner

Lowville, NY · On-site

$77K - $97K/yr

... machining, continuous process operations, assembly, and testing, quality assurance, and ... We offer events, resources, and learning opportunities that inspire a physical, social, emotional ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

Will ensure that the equipment and machinery they work with is cleaned and sanitized according to ... We offer events, resources, and learning opportunities that inspire aphysical, social, emotional ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

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Machine Learning information

See Philadelphia, NY salary details

$23.3K

$38.9K

$80.4K

How much do machine learning jobs pay per year?

As of Jul 27, 2026, the average yearly pay for machine learning in Philadelphia, NY is $38,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $42,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What cities near Philadelphia, NY are hiring for Machine Learning jobs? Cities near Philadelphia, NY with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Philadelphia, NY as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $38,898 per year, or $18.7 per hour.
Senior Performance Advertising Engineer

Senior Performance Advertising Engineer

PubMatic

Redwood, NY • Hybrid

$101K - $138K/yr

Other

Medical, Dental, Vision, Life, PTO

Posted 15 days ago


Job description

Location:

 

Remote OR Hybrid (Redwood City or NYC)

About the Role:

We are seeking a results-oriented Senior Performance Advertising Engineer to own and drive the

optimization of our buyer-side and performance marketing systems. In this role, you will be directly

responsible for designing algorithms, building data systems, and refining optimization loops that

drive Return on Ad Spend (ROAS) for our Advertisers and Agencies.

You will own the technical architecture and end-to-end evaluation, implementation, and scaling of

robust data pipelines for attribution data. This position spans our complete omnichannel

environment, requiring expert-level performance engine development across Mobile App (including

privacy-aware frameworks like SKAdNetwork and Privacy Sandbox), Video, Connected TV (CTV),

and Desktop environments.

What You'll Do:

ROAS Optimization & Algorithmic Design: Develop, benchmark, and deploy real-time bidding

(RTB) algorithms, pacing controls, and predictive models aimed squarely at maximizing ROAS

and conversion tracking across all screens (CTV, Mobile App, Video, and Desktop).

  • Attribution Data Pipelines: Design, evaluate, and implement scalable, low-latency streaming

and batch data pipelines that ingest, validate, and process complex conversion and multi-touch

attribution (MTA) datasets.

  • Omnichannel Execution: Advance PubMatic's performance capabilities across specific

programmatic formats:

  • - Mobile: Build robust mechanisms that thrive within SKAdNetwork, Attribution API, and

Android Privacy Sandbox constraints.

  • - CTV & Video: Implement precise cross-device graph integrations, household-level frequency

capping, and server-to-server attribution systems.

  • - Desktop: Innovate alternative identity framework integrations (e.g., UID2, LiveRamp ATS) to

sustain high attribution fidelity post-third-party cookies.

  • Data Pipeline Evaluation: Constantly audit existing data ingestion points for architectural flaws,

data loss, or systemic latencies that negatively skew attribution accuracy and campaign

performance.

  • Scalable Systems Engineering: Write high-performance, low-latency, and memory-efficient

code (Python, Go, Java, or C++) matching our ultra-scaled backend layer that processes trillions

of monthly events.

Who You Are:

 

Education: Bachelor's, Master's, or equivalent practical experience in Computer Science, Data

Science, Statistics, Mathematics, Physics, or an analytically grounded quantitative field.

Experience: 5+ years of software engineering experience focusing on performance advertising,

programmatic bidding, or large-scale user-conversion optimization loops. Attribution Domain Expertise: Demonstrated track record of evaluating and implementing

multi-touch attribution (MTA), last-touch attribution (LTA), or incrementality testing frameworks in

a production environment.

Data Engineering & Scale: Hands-on experience engineering pipelines handling terabyte-to-

petabyte scale data via distributed frameworks such as Apache Spark, Apache Flink, Kafka, and

cloud data warehouses (e.g., Snowflake, BigQuery).

Format Versatility: Strong technical familiarity with technical specs supporting Mobile App

(IDFA/GAID loss mitigations), CTV (App Transport Security, IFA standards), and Desktop

environments.

 

Preferred Qualifications

  • Deep understanding of the OpenRTB protocol, DSP/SSP mechanics, and supply-path

optimization (SPO).

  • Experience deploying production-grade Machine Learning frameworks for CTR/CVR prediction.
  • Strong system-level performance benchmarking skills (profiling memory allocation, reducing I/O bottlenecks.

Pubmatic (Nasdaq: PUBM) is an independent technology company maximizing customer value by

delivering digital advertising's supply chain of the future. By operating on an AI-first architecture

designed to make intelligence fundamental-not additive-PubMatic enables premium publishers

and programmatic buyers to optimize continuously, preserve transparency, and achieve superior

measurable outcomes at a global scale. Processing over 300 trillion annual ad transactions across

Connected TV (CTV), mobile app, video, and desktop, we empower the open internet through highly

automated, efficient, and secure infrastructure

 

Additional Information

 

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 a 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

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