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Python Ml Developer Jobs in Middlesex, NJ (NOW HIRING)

Staff ML Engineer (Audio)

New York, NY · Remote

$185K - $235K/yr

Strong programming skills in Python and model ML frameworks (PyTorch, JAX). * Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision ...

Senior AI/ML Engineer

New York, NY · On-site

$180K - $200K/yr

We are seeking a Senior AI/ML Engineer to help design, build, and scale advanced analytics and ... Strong proficiency in Python and SQL * Experience working with both structured and unstructured ...

ML Infrastructure Engineer

New York, NY · On-site

$190K - $230K/yr

Strong software engineering fundamentals, with proficiency in Python and TypeScript * Experience in software design and architecture for highly available ML systems for use cases like inference ...

Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. * Familiarity with natural language processing (NLP) techniques and transformer models ...

AI Solutions Developer

New York, NY · On-site

$55 - $75.75/hr

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AI/ML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow.

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

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Python Ml Developer information

See Middlesex, NJ salary details

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$88

How much do python ml developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python ml developer in Middlesex, NJ is $60.16, according to ZipRecruiter salary data. Most workers in this role earn between $49.57 and $68.32 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Middlesex, NJ look for? The top searched job categories for Python Ml Developer jobs in Middlesex, NJ are:
What cities near Middlesex, NJ are hiring for Python Ml Developer jobs? Cities near Middlesex, NJ with the most Python Ml Developer job openings:
Staff Machine Learning Engineer, ML Infrastructure

Staff Machine Learning Engineer, ML Infrastructure

Unity Technologies

New York, NY • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 25 days ago


Job description

The opportunity
Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.
Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems.
To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound.
We are seeking a staff ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads.
You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform.
What you'll be doing
  • Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation
  • Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc.
  • Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows
  • Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing
  • Optimize performance and resource utilization across distributed compute systems used for data processing and model training
  • Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration
  • Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient

What we're looking for
  • Strong experience building large-scale ML pipelines
  • Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training
  • Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines
  • Deep experience designing and operating production-grade data pipelines
  • Strong programming skills in Python and experience working with large-scale distributed workloads
  • Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)
  • Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems
  • Proven ability to lead technical direction and influence architectural decisions across teams without formal authority

Additional information
  • Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world's leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D - closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
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*Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.
Gross pay salary
$209,700-$283,800 USD