2

Remote Full Stack Machine Learning Engineer Jobs in Secaucus, NJ

Senior Full Stack Engineer

New York, NY ยท On-site +1

$166.50K - $215K/yr

Collaborate closely with machine learning/vision engineers, LLM domain experts, and our ... Learning & Growth stipend Flexible long-term work options (remote and hybrid) Free lunch provided ...

Full Stack + AI Engineer

New York, NY ยท On-site +1

$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 ...

next page

Showing results 1-20

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 31, 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:

Senior Full Stack Engineer

Trunk Tools

New York, NY โ€ข On-site, Remote

$166.50K - $215K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 10 hours ago


Job description

At Trunk Tools, we're the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite.
Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we're changing that by embedding AI directly into field operations.
Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry's unique challenges.
After years of building the "brain" of construction, we're now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 100+ employees (50+ engineers), we're scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point.
Our full-stack engineers work within cross-functional feature squads to create the capabilities our customers leverage every day. This position will work closely with product, design, business stakeholders, and colleagues across the engineering org to bring our product roadmap to life.
What you will do and achieve:
  • Create the next generation of product experience: You will build new features and expand existing capabilities across the Trunk Tools product platform, and get deeply hands-on with our core LLM-enabled agentic product experience. This isn't yet another CRUD build! We're creating the technology to unlock a new paradigm in how users interact with an app, that leverages the power of language models from the ground up.
  • Own capabilities end-to-end: We believe in individual ownership at Trunk Tools. As a full-stack engineer on one of our feature squads, you'll drive new capabilities from concept to production - collaborating with product and design to shape what gets built, writing code across the stack, and working directly with customer success as we deploy and scale new features with real users.
  • Collaborate closely with machine learning/vision engineers, LLM domain experts, and our integrations team: Our platform relies on complex integrations with third-party systems, extensive data processing capabilities, and a cutting-edge agentic layer. All of this technology comes together in our user-facing product: as you develop and deploy new capabilities, you'll work in a highly collaborative and cross-functional way.
  • Constantly improve technical reliability and ability to scale: you'll iterate on our backend architecture to support the growing needs of thousands of users, making sure our systems are built to scale as we grow.
  • Strategic participation: In this role you'll help inform the architecture, practices, and tools you'll use every day to shape what we build, and how.
Who you are:
  • Demonstrable past experience in one or more leveraged, high-output full-stack engineering roles
  • Highly proficient in TypeScript and full-stack development across backend and frontend, with experience in our technical stack (Node + Express + React)
  • You have experience architecting systems, designing data schemas, and are comfortable with both relational and non-relational databases
  • You have previous experience shipping products to users, and enjoy the pace of a fast-moving startup environment
  • You're energized by user impact and how high-quality engineering can be a multiplier - you care deeply about both what ships and how it's built.

Interviewing at Trunk
Our interview process is designed to help us assess whether candidates would be a good fit for our company and open roles, as well as help candidates understand what it's like to work on our team. We focus holistically on candidates' alignment with our core values and their ability to work and operate under a high standard of excellence. All our interviews are performed remotely via Zoom.
(1) Conversation with the hiring manager
The first step of our interview process is an initial conversation with the hiring Engineering Manager. This session will focus on your background, skills, and relevant work history. We'll discuss the projects and outcomes you've driven in your prior roles. As part of this conversation, we'll tell you more about TrunkTools, expectations for the role, and leave ample time for your own questions.
(2) Technical screen
In this round, you'll meet with a senior engineer on our team to review, understand, and refactor a small section of TypeScript code. You will screenshare your work from your own laptop. Please prepare by having Docker and your preferred code editor set up for this session.
While we are in the business of applied AI and use LLM-equipped coding tools extensively internally, we still expect our software engineers to know how to code. We place a high value on candidates' understanding of programming fundamentals, so during this and all other technical screens, we will ask you to write your own code (instead of relying on an agent).
(3) Technical panels
Following our technical screen, we have candidates attend two separate panel interview sessions: a full-stack interview and a system design exercise. Both sessions will be attended by a panel of two senior engineers.
Our full-stack interview covers candidate's familiarity with implementing features across the breadth of a TypeScript and Express codebase. We'll ask you to work through implementation of a small feature end-to-end, starting from a React component, handling state management, API calls, backend controller and service changes, and interaction with a database.
In the system design exercise, we'll ask candidates to diagram an architecture for a hypothetical eCommerce application using a shared Zoom whiteboard. We'll be focused on assessing the candidate's broad familiarity with how web applications are structured and built.
(4) Meet with the CTO
As a last step in our process before the offer phase, we schedule a short conversation with our CTO. This session is more informal, covering shared alignment, fit, and answering any remaining questions about TrunkTools or engineering culture.
What we offer
A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters
Competitive salary and stock option equity packages
4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!
Learning & Growth stipend
Flexible long-term work options (remote and hybrid)
Free lunch provided in the office in NYC & Austin - you'll never go hungry with us!
Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
IRL / In-Person retreats throughout the year
Please note: All official communication from Trunk Tools will come from an email address ending in @trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us.
At Trunk Tools, we're working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class.