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Remote Full Stack Machine Learning Engineer Jobs in New Jersey

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Engage in the full lifecycle of data modeling projects, from understanding business requirements to ...

Machine Learning Tutor

Summit, NJ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Hoboken, NJ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Paramus, NJ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Clifton, NJ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Trenton, NJ · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

... full stack - from infrastructure and DevOps to backend services and data pipelines - and will have ... Implement and maintain infrastructure for machine learning workflows, including model serving ...

New

Cloud Engineer

Princeton, NJ · Remote

$59 - $78.75/hr

... full stack - from infrastructure and DevOps to backend services and data pipelines - and will have ... Implement and maintain infrastructure for machine learning workflows, including model serving ...

New

Apply machine learning, natural language processing, and generative AI techniques to improve ... Design, develop, and maintain full-stack web applications (front-end UI + backend services) that ...

New

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Familiarity with observability platforms (Prometheus, Grafana, ELK stack). * Experience with NoSQL ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New Jersey? The most popular types of Full Stack Machine Learning Engineer jobs in New Jersey are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in New Jersey? For Remote Full Stack Machine Learning Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in New Jersey look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in New Jersey with the most Remote Full Stack Machine Learning Engineer job openings:
Full Stack and AI Engineer

Full Stack and AI Engineer

UnitedHealth Group

Basking Ridge, NJ • Remote

$91K - $163K/yr

Full-time

Retirement

Re-posted 14 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 882 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps.

These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways.

Location: Remote near Basking Ridge, NJ

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, build, and maintain scalable backend services and APIs using Java and Python
  • Architect and implement event-driven/microservices solutions using Kafka (topics, partitions, consumer groups, schemas, retries/DLQs)
  • Model, optimize, and maintain relational and/or NoSQL databases (schema design, indexing, query tuning, migrations)
  • Develop data processing pipelines (streaming and batch) with strong focus on reliability, observability, and performance
  • Build and integrate AI/ML-powered features (model inference services, prompt orchestration, vector search, or ML pipelines) and collaborate with data science teams
  • Ensure production readiness: CI/CD, automated testing, monitoring/alerting, and incident response/root-cause analysis
  • Enforce engineering best practices: code reviews, secure coding, documentation, and mentoring junior engineers
  • Collaborate cross-functionally with product, QA, platform/SRE, and stakeholders to deliver roadmap initiatives

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • High School Diploma/GED
  • 8 years of professional software engineering experience building backend systems in Java and/or Python
  • 5 years of experience leading a team of 5-10 engineers
  • 3 years of experience with databases (PostgreSQL/MySQL/Oracle and/or MongoDB/Cassandra), including performance tuning and transactional consistency
  • 3 years of experience in cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and CI/CD

  • 2 years of experience with Kafka in production (exactly-once/at-least-once semantics, schema evolution, monitoring, capacity planning)

  • 2 years of experience designing distributed systems (microservices, REST/gRPC, concurrency, caching, resiliency patterns)

  • 1 years of experience delivering AI-enabled solutions (LLM integration, ML inference deployment, feature engineering, vector databases such as Pinecone/Weaviate/pgvector, or MLOps tools)

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science (or equivalent practical experience)

Soft Skills:

  • Strong problem-solving, communication, and ability to lead technical design discussions

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.   

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

     

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

#RPO #GREEN


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