ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in New Jersey

Deloitte

Cyber - SecOps - Consultant

Jersey City, NJ · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Judge Group, Inc.

AI/ML Engineer

Jersey City, NJ · On-site

$70 - $80/hr

Jersey City, NJ Salary: $70.00 USD Hourly - $80.00 USD Hourly Description: Senior Machine Learning Engineer / AI Engineer About the Role We are seeking a Senior Machine Learning Engineer to lead the ...

Burlington

Software Engineer

Edgewater Park, NJ

$80K - $105K/yr

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Fairygodboss

Lead Data Scientist

Parsippany Troy Hills, NJ · On-site

$100 - $130/hr

... embedded analytics solutions. You'll lead the design and implementation of data‑driven solutions to address business problems. Develop and deploy machine learning models to improve business ...

New

Burlington Stores

Software Engineer

Beverly, NJ · On-site

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Hatch Global Search

Software Engineer-C, Python

Matawan, NJ · Hybrid

$52 - $71.50/hr

... embedded systems development with C; parallel, distributed or complex system programing project experience; machine learning; writing software that manipulates data at the bit and byte level.

next page

Showing results 1-20

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in New Jersey

Hourly Embedded Machine Learning information

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in New Jersey? The most popular types of Embedded Machine Learning jobs in New Jersey are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in New Jersey? For Hourly Embedded Machine Learning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in New Jersey look for? The top searched job categories for Hourly Embedded Machine Learning jobs in New Jersey are:
What cities in New Jersey are hiring for Hourly Embedded Machine Learning jobs? Cities in New Jersey with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Scientist Machine Learning for Ingredient Discovery - Long Island City, NY

DSM

Princeton, NJ • On-site

$100K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Scientist Machine Learning for Ingredient Discovery
Location: Princeton, NJ or Long Island City, NY
We are seeking a skilled Data Scientist with deep expertise in developing and applying machine learning models, including LLMs and agents, as well as user-facing apps for small molecule design and pipeline prioritization.
The successful candidate will join the Ingredient Modeling team within dsm-firmenich's R&D Data Science unit and work with a talented team of data scientists, chemists, biologists as well as perfumers to transform our internal molecule discovery process, closely integrating AI with chemistry, biotech and the understanding of our senses of olfaction and taste. Our goal: deliver an integrated, state-of-the-art discovery engine for fragrance, taste and other business areas of dsm-firmenich.
This role offers the opportunity to work on projects that integrate computational chemistry with receptor biology and advanced data science methodologies - all while working in close collaboration with leading domain experts in the field of discovery chemistry, biotechnology, receptor biology, olfaction, and taste.
Key Responsibilities:
  • Use data science and AI to drive a fast-paced ingredient discovery pipeline that generates maximum value for dsm-firmenich's taste, texture and health segments.
  • Develop and implement machine learning models to support dsm-firmenich's new ingredient discovery process.
  • Use Python and its most common libraries (e.g. NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras) to build and optimize machine learning models.
  • Apply diverse neural network architectures and multi-objective optimization algorithms to solve complex ingredient design problems including exploration of chemical space. Deploy and manage machine learning workflows on Azure and AWS cloud infrastructure.
  • Stay abreast of the latest advancements in machine learning, neural networks and cheminformatics and apply this knowledge to drive innovation within the team.
  • You apply modern tools such as git, generative AI and agentic workflows, graph and relational data models, cloud-native computing and API endpoints to do your daily work.
  • Team up with other data scientists, chemists, biologists and perfumers/flavorists to translate scientific requirements into scalable and user-friendly modeling tools and drive project success.

We Offer:
  • Opportunity to join a dynamic and thriving team applying ML and other modeling techniques to biology and chemistry.
  • Highly motivated, professional and committed multicultural and interdisciplinary team.
  • Opportunity to put your scientific skills into practice with innovations in health, nutrition and beauty.
  • Grow and develop your skills through our in-house training courses.
  • Being a part of company shaping a strong legacy heritage through industrial innovations and cutting-edge technology.
  • A commitment to science-based innovations with 2000 scientists and 700 mln annual S&R investments.

You Bring:
  • Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, Artificial Intelligence or Quantitative Finance / Economics.
  • 2-5 years of additional academic or industrial work experience in cheminformatics and computational chemistry, ideally applied to ingredient- drug discovery or the sensory biology field, or alternatively other relevant areas
  • Scientific backgrounds with experience in Machine Learning for Trading, Quantitative Investing, and Systematic Portfolio Management are also welcome
  • Record of accomplishments demonstrating high drive and keen entrepreneurial innovation.
  • Strong proficiency in Python and its data science libraries (NumPy, SciPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, PyTorch, Keras etc.).
  • Strong proficiency in state-of-the art cheminformatics toolkits such as RDKit.
  • Strong understanding of machine learning algorithms and techniques, miulti-objective optimization (such as mixed preference optimization) and experience with (graph) neural networks.
  • Proficiency in responsible and efficient use of AI coding agents, good code management practices and experience working with CI/CD pipelines. Hands-on experience with Azure or AWS cloud services is a plus.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills and the ability to convey complex concepts to non-experts.

The salary or hourly wage scale provided reflects the pay range dsm-firmenich expects to pay the successful candidate for the position. Individual pay offered will be based on the applicant's job-related skills, experience, relevant education, or training, and primary work location. This position is also eligible for bonuses and benefits, which are not included in the pay scale provided. Salary $100,000-$140,000.
In addition to base salary, we also offer a comprehensive total rewards package, inclusive of annual incentive pay, a retirement savings plan, health care coverage, paid time off, recognition programs and a broad range of other benefits. All benefits and incentives are subject to eligibility requirements.
About dsm-firmenich
At dsm-firmenich, we don't just meet expectations - we go beyond them.
Join our global team powered by science, creativity, and a shared purpose: to bring progress to life.
From elevating health to making fortified food and sustainable skincare, the impact of your work here will be felt by millions - every single day. Whether it's fragrance that helps you focus, alternative meat that's better for the planet, or reducing sugar without losing flavor, this is where you help shape the future of nutrition, health, and beauty for everyone, everywhere.
And while you're making a difference, we'll make sure you're growing too. With learning that never stops, a culture that lifts you up and the freedom to move across businesses, teams, and borders. Your voice matters here. And your ideas? They're essential to our future.
Because real progress only happens when we go beyond, together.
The application process
Interested in this position? Please apply online by uploading your resume in English.
Inclusion, belonging and equal opportunity statement
At dsm-firmenich, we believe being a force for good starts with the way we treat each other. When people feel supported, included, and free to be themselves, they do their best work - and that's exactly the kind of culture we're building. A place where opportunity is truly equal, authenticity is celebrated, and everyone has the chance to grow, contribute, and feel they belong.
We're proud to be an equal opportunity employer, and we're serious about making our hiring process as fair and inclusive as possible. From inclusive language and diverse interview panels to thoughtful sourcing, we're committed to reflecting the world we serve.
We welcome candidates from all backgrounds - no matter your gender, ethnicity, sexual orientation, or anything else that makes you, you.
And if you have a disability or need any support through the application process, we're here to help - just let us know what you need, and we'll do everything we can to make it work.
Agency statement
We're managing this search directly at dsm-firmenich. If you're applying as an individual, we'd love to hear from you. We're not accepting agency submissions or proposals involving fees or commissions for this role.

Apply