1

Mobile Machine Learning Jobs in New York (NOW HIRING)

Senior Machine Learning Engineer

Manhattan, NY ยท On-site

$133K - $176K/yr

Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode ... A degree in Computer Science, Machine Learning, or a related field, or equivalent professional ...

The Opportunity Good Inside is seeking a Machine Learning Engineer to join our Engineering team ... Collaborate closely with product, mobile, and design teams to translate ML capabilities into user ...

Machine Learning Engineer

New York, NY ยท On-site

$205K - $235K/yr

You'll work at the intersection of backend systems and machine learning, building the ... Collaborate closely with product, mobile, and design teams to translate ML capabilities into user ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Integrate ML models into production-grade APIs and mobile SDKs. * Monitor, evaluate, and ...

Machine Learning Engineer I

New York, NY ยท On-site

$106K - $146K/yr

... mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism ... CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Integrate ML models into production-grade APIs and mobile SDKs. * Monitor, evaluate, and ...

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Integrate ML models into production-grade APIs and mobile SDKs. * Monitor, evaluate, and ...

Machine Learning Engineer I

New York, NY ยท On-site

$106K - $146K/yr

... mobile, and connected TV platforms. Our ML/AI team works at the intersection of journalism ... CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power ...

next page

Showing results 1-20

Mobile Machine Learning information

See New York salary details

$13

$27

$130

How much do mobile machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for mobile machine learning in New York is $27.71, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $22.07 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized knowledge, and may be found in large tech companies or research institutions.

What are the key skills and qualifications needed to thrive as a Mobile Machine Learning Engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

Will MLE be replaced by AI?

Mobile Machine Learning Engineers (MLEs) develop and optimize machine learning models for mobile devices. While AI technologies continue to advance, MLEs focus on implementing efficient, lightweight models suitable for mobile hardware, and their role is expected to evolve rather than be fully replaced by AI itself. Skills in model optimization, deployment, and understanding mobile constraints remain essential for MLEs.

What engineer makes $500,000 a year?

Senior machine learning engineers, including those working on mobile applications, can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning and AI, and roles in high-paying industries or companies. Achieving this level often requires advanced degrees, specialized expertise, and leadership responsibilities.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

Which 3 jobs will survive AI?

Mobile Machine Learning professionals, data scientists, and AI system engineers are likely to continue thriving as AI advances, due to their expertise in developing, managing, and interpreting complex models. These roles require specialized skills in programming, statistics, and domain knowledge, making them less susceptible to automation. Continuous learning and staying updated with AI tools and frameworks are essential for long-term job security in this field.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.
What are the most commonly searched types of Machine Learning jobs in New York? The most popular types of Machine Learning jobs in New York are:
What job categories do people searching Mobile Machine Learning jobs in New York look for? The top searched job categories for Mobile Machine Learning jobs in New York are:
What cities in New York are hiring for Mobile Machine Learning jobs? Cities in New York with the most Mobile Machine Learning job openings:
Machine Learning Engineer, Next-Generation Recommendation Systems

Machine Learning Engineer, Next-Generation Recommendation Systems

Unity

Manhattan, NY โ€ข On-site

Full-time

Posted 12 days ago


Job description

Job Summary:
Unity's Vector AI team builds machine learning systems for ad targeting across billions of users. They are seeking a Machine Learning Engineer to develop next-generation recommendation systems that leverage advanced techniques such as reinforcement learning and large language models.
Responsibilities:
โ€ข Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience.
โ€ข Develop user understanding systems โ€” conversion prediction, behavioral modeling, and value estimation โ€” that operate across billions of impressions.
โ€ข Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery.
โ€ข Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality.
โ€ข Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model.
โ€ข Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams.
Qualifications:
Required:
โ€ข PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate).
โ€ข Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
โ€ข Experience working with large-scale data and ML systems, whether through research or industry internships.
โ€ข Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
โ€ข A track record of rigorous, high-quality research โ€” publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal.
โ€ข Strong written and verbal communication skills โ€” able to make complex ideas accessible across technical and non-technical audiences.
Preferred:
โ€ข Industry experience in ads, recommendation, or user understanding systems (internship experience counts).
โ€ข Hands-on experience with production ML pipelines โ€” training at scale, feature engineering, or experimentation infrastructure.
โ€ข Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems.
โ€ข Familiarity with agentic AI approaches โ€” multi-step reasoning, tool use, or human-AI collaboration frameworks.
โ€ข Exposure to causal inference, uplift modeling, or A/B testing at scale.
โ€ข Genuine curiosity about applied research and the drive to see ideas through to impact.
Company:
Unity [NYSE: U] offers a suite of tools to create, market, and grow games and interactive experiences across all major platforms from mobile, PC, and console, to extended reality. Founded in 2004, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.