1

Hourly Embedded Machine Learning Jobs in New Jersey

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.

AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced ... embedded into underwriting and actuarial workflows. Backlog Management, User Stories & Cross ...

$29.90/hr

... machine learning, and technology integration. * Utilize advanced analytics to extract valuable ... Intern Vehicle Lease Program The hourly rate for Undergraduate students is $29.90 The hourly rate ...

Showing results 21-40

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 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:
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.

Associate Director, Analytical Engineering

Bristol Myers Squibb

Princeton, NJ • On-site, Remote

$194K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Bristol Myers Squibb rating

8.2

Company rating: 8.2 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

33rd of 86 rated pharmaceutical


Job description

Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Employer: Bristol-Myers Squibb Company

Job Title: Associate Director, Analytical Engineering

Location: 3401 Princeton Pike , Lawrenceville, NJ 08648

Wage Range: $194,145.00 - $226,670.00
Bristol-Myers Squibb Company is hiring a(n) Associate Director, Analytical Engineering

(in Princeton, NJ).

Duties: Contribute to the development, deployment, and maintenance of data science and machine learning pipelines, solutions, and products in support of commercialization strategies. Serve as a member of a hands-on team of data engineers and machine learning engineers. Collaborate cross-functionally with analytics and business stakeholders to pilot and deploy advanced data science solutions. Design, implement, and maintain reliable, scalable, and maintainable pipelines for data science products and machine learning applications. Establish best practices for machine learning engineering, data engineering, and machine learning operations. Develop and optimize tools and frameworks that improve the efficiency and effectiveness of data scientists. Partner with leadership to monitor emerging trends in data science and engineering technologies to enhance organizational capabilities. Translate models, pipelines, and technical solutions into clear terms for diverse stakeholders. Build and maintain data science-related applications using frameworks. Apply natural language processing techniques and advanced analytics methods to address complex business problems and contribute to the continuous evolution of the organization's business intelligence and analytics capabilities. Telecommuting permitted up to 3 days per week.

Requirements: Employer will accept a Bachelor's degree or foreign equivalent in Data Science, Statistics, Business Analytics, Project Management, or a related field, and five (5) years of progressive postbaccalaureate related work experience as a Data Scientist or related occupation. Alternatively, the employer will accept a master's degree or foreign equivalent in Data Science, Statistics, Business Analytics, Project Management, or a related field, and three (3) of related work experience.

Must have three (3) years of experience in the following skills (which may be gained concurrently):
Working in a cloud-based environment including Amazon Web Services, Azure, or Google Cloud Platform;
Designing and deploying Regression models and Classification models using Scikit-Learn, TensorFlow, or PyTorch;
Programming and version control using Python, R, SQL, and GIT;
Translating raw data into visuals using Tableau;
Automating MLOps including ML pipelines using MLflow; and
Building and deploying data science applications in Dash or Streamlit.

Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BMS operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:

  • Health Coverage:Medical, pharmacy, dental, and vision care.
  • Wellbeing Support:Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
  • Financial Well-being and Protection:401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Work-life benefits include:

Paid Time Off

  • US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
  • Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays

Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.

All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

*Eligibility Disclosure:The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program."

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visithttps://careers.bms.com/life-at-bms/.

For more information on benefits, please click the "Life at BMS" tab above. To apply, click the "Apply Now" button at the top of this page.


If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information:https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1603183 : Associate Director, Analytical Engineering

What Bristol Myers Squibb employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Bristol-Myers Squibb logo

About Bristol-Myers Squibb

Sourced by ZipRecruiter

Bristol-Myers Squibb is a world-renowned global Biopharmaceutical company headquartered in New York, NY, US. Established in 1887, the company has more than 130 years’ worth of history dedicated to discovering, developing, and delivering innovative medicines that help patients prevail over serious diseases. The company operates in the healthcare industry and thrives on providing a range of pharmaceutical products and services for various medical fields, like oncology, cardiovascular diseases, and immunoscience. Notably, Bristol-Myers Squibb is known for its commitment to relentless research and innovative drug development, which has led to breakthroughs like Opdivo, one of the first immunotherapies.

Industry

Scientific research and development services and pharmaceutical and medicine manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US