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Remote Full Stack Machine Learning Engineer Jobs in Secaucus, NJ

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models ... We value ownership of the full lifecycle. * Excellent communication-able to explain complex ML ...

DailyPay

Senior Machine Learning Engineer

New York, NY · Remote

$190K - $250K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You will play a key role in maturing and scaling our machine learning infrastructure, ensuring the ...

Walter

Full Stack Engineer - AI

New York, NY · On-site +1

The team consists of highly talented AI engineers, Full-stack Engineers, product managers, and ... Open to on-site and Remote candidates * Ship products that will directly impact millions of users ...

Empassion

Senior Full Stack Software Engineer

New York, NY · On-site +1

$120K - $175K/yr

Remote Work & Travel Empassion is a remote-first, fully distributed company across the United ... Experience designing complex state management systems, including state machines and rules engines

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Secaucus, NJ

Remote Full Stack Machine Learning Engineer information

See Secaucus, NJ salary details

$45.2K

$137K

$193.7K

How much do remote full stack machine learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote full stack machine learning engineer in Secaucus, NJ is $137,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $160,600.00 per year, depending on experience, location, and employer.

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 popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Secaucus, NJ? For Remote Full Stack Machine Learning Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Secaucus, NJ look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Secaucus, NJ with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Orita

New York, NY • On-site, Remote

$180K - $250K/yr

Full-time

Re-posted 8 days ago

Job description

About Orita
Orita builds AI customer segments for many of the best brands in the world including (deep breath) Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, Thursday Boots, gorjana, and hundreds more.
Orita's algorithms help brands understand who wants to hear from them, when, and through what channel (email, SMS, direct mail today, more coming soon ...). By messaging prospects and customers when they're actually listening, you're able to make a bunch of money.
In a world where acquisition costs are skyrocketing, fixing retention and driving LTV is the key to profitable growth.
The Role
As a Senior Machine Learning Engineer at Orita, you will:
  • Build and Productionize Models: Design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
  • Develop Scalable ML Infrastructure: Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
  • Experiment & Optimize: Drive continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
  • Collaborate & Mentor: Work closely with cross-functional teams, including the CEO and CTO, to align on product goals and foster best practices for machine learning and data engineering across the organization.
Ideal Background
Please apply even if you don't meet every requirement. We're looking for a versatile engineer who can learn quickly and own problems end-to-end.
  • Education & Experience
    • 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
  • ML Expertise:
    • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs).
    • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks.
    • Feature engineering using aggregations, embeddings, and sub-models.
  • MLOps & Cloud:
    • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.).
    • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.).
    • Experience iterating models in a production environment is a must.
  • Software Engineering Skills
    • Strong proficiency in Python (numpy, pandas, etc.).
    • Experience with scalable data processing (Spark, Ray, BigQuery).
    • Job orchestration (Airflow)
  • Analytical & Statistical Background
    • Comfortable with advanced experimentation techniques.
    • Understanding of performance measurement in real-world deployments.
  • Soft Skills & Culture
    • Comfortable wearing many hats-data wrangling, model development, deployment, monitoring, and performance optimization. We value ownership of the full lifecycle.
    • Excellent communication-able to explain complex ML concepts to non-technical stakeholders.
    • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed.
Bonus Points
  • Familiarity with marketing technology or ads is a strong plus.
  • Experience with experimental design and methods such as causal inference or uplift modeling.
  • Exposure to modeling with LLMs and modern AI tooling.
  • Productionizing Reinforcement Learning and Bandit algorithms.
  • Ph.D in a technical field
  • Experience in a fast-paced or startup environment.
  • You live in or near New York City. Most of us work in EST.
Why Orita?
  • Impact: Join a lean, agile team shaping the future of ML for leading global brands.
  • Growth: Work directly with industry veterans with strong academic and professional backgrounds.
  • Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
  • Culture: We value ownership, iteration, and continuous learning-everyone's voice matters.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.

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