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Remote Full Stack Machine Learning Engineer Jobs in Secaucus, NJ

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Shaped

Full Stack Engineer (Analytics)

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a full-stack ... Previous experience in analytics, machine learning or data processing is advantageous. * Excellent ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$27 - $32/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps in data science , AI , and machine learning domains. Surface nuances that ...

10a Labs

Machine Learning Engineer

New York, NY · Remote

$150K - $250K/yr

This is an applied role for someone who owns the full ML lifecycle-from data pipelines and model ... Fully remote, U.S.-based. * Health Benefits: Comprehensive health, dental, and vision coverage.

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$148K - $212K/yr

We are looking for a Machine Learning Engineer to join the Personalization (PZN) team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112.10K - $147.70K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

Gesture

Full Stack + AI Engineer (Remote)

New York, NY · Remote

$75K - $150K/yr

Full Stack + AI Engineer Location: New York, NY (Hybrid / Onsite Preferred) Department: Product ... We're a fast-growing tech company using AI, machine learning, and intelligent logistics to power a ...

Mercor

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 ...

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114.30K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

PermitFlow

Applied Machine Learning Engineer

New York, NY · Remote

$175K - $250K/yr

Own the full ML lifecycle: experimentation, deployment, monitoring, evaluation, and iteration ... machine learning engineering, with production ML experience * Deep expertise in NLP and LLMs ...

Trunk Tools, Inc.

Senior Full Stack Engineer

New York, NY · Remote

$166.50K - $215K/yr

Collaborate closely with machine learning/vision engineers, LLM domain experts, and our ... remote and hybrid) 🥨 Free lunch provided in the office in NYC & Austin - you'll never go hungry ...

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All 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 May 30, 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 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 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 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 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 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:
Remote Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Hang

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Hang is building the future of loyalty for brands.
Hang is the next generation brand loyalty & membership platform. By harnessing the power of personalization, gamification, and its integrations ecosystem, Hang provides brands with a radically new type of loyalty experience for their customers.
Today, they work with a variety of major brands (such as Ulta Beauty, Budweiser, Flipkart, and more), as well as multiple well-known, up-and-coming restaurant chains (Boba Guys, Roam Artisan Burger, and Williamsburg Pizza, among several others).
Hang draws from years of deep expertise in loyalty, game design, and finance with employees from leading companies like Google, Amazon, Apple, Meta, LinkedIn, Coinbase, Square, and Goldman Sachs.
Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger Global, Howard Schultz, Kevin Durant, Mr. Beast, and the founders of Warby Parker, Allbirds, and Bombas, among others.
About the Role
We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform's capabilities, making key contributions to our product development, and driving data-driven decision-making.
What You'll Do
  • Model Development: Design, build, and deploy machine learning models to improve various aspects of our platform, including customer personalization, predictive analytics, and automated decision-making.
  • Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to inform model development and business strategies.
  • Algorithm Optimization: Continuously test and refine algorithms to improve accuracy and efficiency.
  • Collaborative Development: Work closely with software engineers, data scientists, and product managers to integrate ML models into our platform and ensure seamless deployment.
  • Research and Innovation: Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques and technologies that could benefit Hang.
  • Technical Leadership: Provide insights and guidance on best practices in machine learning, and contribute to the strategic direction of our technology.
Who You Are
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
  • 5+ years of experience in machine learning and data related roles.
  • Proven experience as a Machine Learning Engineer or in a similar role.
  • Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch).
  • Experience with data processing and data analytics.
  • Experience with vector databases, demonstrating proficiency in managing and querying high-dimensional data. Familiarity with popular vector databases like Redis, Milvus, Pinecone, Weaviate, Chroma or Faiss is required.
  • Knowledge of machine learning techniques and algorithms, including fine tuning processes and methodology.
  • Experience in deploying Large Language Models (LLMs) in production environments, including optimization and scaling considerations.
  • Experience with snowflake, Postgres, RDS, Redis and AWS.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to work well in a team.
  • Experience with Ruby is a plus.
What Would Set You Apart
  • You have a passion for consumer brands and loyalty programs.

Benefits
  • Top-tier health, vision, and dental insurance, including plans with $0 employee cost.
  • Unlimited PTO / sick leave
  • Competitive salary & equity compensation.
  • Quarterly company offsites
Hang logo

About Hang

Sourced by ZipRecruiter

Industry

Software development

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2021

Social media

Twitter

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