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Remote Spacex Machine Learning Jobs in Jackson, NJ

Lead Research Engineer

New York, NY · On-site +1

$112K - $147K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ... Build analytics tasks across machine learning model development , enterprise data pipelines , and ...

Data Scientist

New York, NY · Remote

$130K - $135K/yr

Role: Data Scientist Location: Remote, however travel might be required as per business ... Strong knowledge of programming languages with a focus on machine learning and advanced analytics ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Python (machine learning, Natural Language Processing, string manipulation) You care about ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

You will drive technical strategies that translate complex AI, Deep Learning and Machine Learning ... This US-based role can be remote or based out of our New York City office. AI Innovation at ...

Java Open Source Contributor

New York, NY · Remote

$55.75 - $72.25/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Showing results 41-60

Remote Spacex Machine Learning information

See Jackson, NJ salary details

$25.5K

$42.6K

$88.1K

How much do remote spacex machine learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote spacex machine learning in Jackson, NJ is $42,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,100.00 per year, depending on experience, location, and employer.

What does a remote SpaceX machine learning engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are the key skills and qualifications needed to thrive as a remote SpaceX machine learning engineer?

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.

What are some unique challenges of working remotely as a machine learning engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

What are popular job titles related to Remote Spacex Machine Learning jobs in Jackson, NJ?

For Remote Spacex Machine Learning jobs in Jackson, NJ, the most frequently searched job titles are:

What cities near Jackson, NJ are hiring for Remote Spacex Machine Learning jobs?

Cities near Jackson, NJ with the most Remote Spacex Machine Learning job openings:

Infographic showing various Remote Spacex Machine Learning job openings in Jackson, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $42,647 per year, or $20.5 per hour.

Principal Data Scientist, Generative Recommendations & AI- Spain Remote

Cimpress Usa

Chatsworth, NJ • On-site, Remote

Full-time

Re-posted 19 days ago


Job description

Location: Spain,

Experience: 8+ Years building and deploying machine learning models and llms into high-scale customer experiences

Stack: Python, PyTorch/TensorFlow, SQL, Databricks, Snowflake.

Our Team

At Vista Engineering, we are building an industry-leading Customer Relevance Platform to scale personalization across products, design templates, and marketing messages. We are moving away from "model sprawl" toward a unified architecture centered on fmX, a foundation model that learns shared embeddings for all relevant entities for vistaprint (users, products, marketing message, templates...etc.).

Our FY27 mission is focused on delivering an "Context-aware Customer Experience". To achieve this, we are prioritizing the evolution of Intent-Based Personalization-capturing real-time journey signals to match the customer's immediate goals-and infusing our recommendations into Agentic experiences, equipping AI assistants with the context needed to drive conversational shopping.

What You Will Do

As the Principal Data Scientist, you will drive the generative and context-aware evolution of our platform. Part of this role involves partnering directly with another Principal Data Scientist to co-lead our research agenda, accelerate our strategic progress, and elevate the overall capabilities of the Data Science team. You will research, design, and evangelize how Vista uses Generative AI and Large Language Models (LLMs) to go beyond traditional retrieval and ranking, creating fully contextualized, ML-driven customer experiences.

Generative, Intent-Based & Agentic Recommendations

  • Lead the evolution of our recommendation systems into the Generative AI era, moving our architecture beyond static item retrieval by researching generative recommendation paradigms (e.g., agentic recommendations, contextual narratives).

  • Develop an algorithmic intent layer that translates real-time browsing signals into actionable customer intents that will inform our recommendations.

  • Architect the ML pathways to expose core recommendation actions as tools for AI agents, allowing them to synthesize customer intent, retrieve/rank candidates from fmX, and power seamless conversational shopping experiences.

Broad Personalization Strategy & Segmentation

  • Build advanced propensity models and leverage foundational customer traits to drive customer segmentations and personas.

  • Ensure these segmentations are actionable and strategically aligned to the company strategy.

ML-Driven Bot Detection

  • Tackle the critical bot traffic challenge by building multi-layered, hybrid machine learning models trained on historical web tracking data.

  • Classify ambiguous sessions that bypass deterministic rules to protect our analytics and personalization integrity.

Data Science Leadership & Evangelization

  • Partner closely with our existing Principal Data Scientist to divide and conquer complex research initiatives, accelerating the overall team's output and maturity.

  • Act as the primary AI ambassador across Vista, influencing product, engineering, and business leadership to embrace a model-driven approach.

  • Work closely with platform and experience teams to ensure that ML models integrate seamlessly into the customer experience without degrading Core Web Vitals or caching efficiency.

Your Qualifications

At VistaPrint, we are striving to hire individuals that add new ideas and perspectives to our teams and enhance our culture. No matter your background or work experience, we strongly encourage you to apply-even if you feel that you don't meet the exact requirements or have the same qualifications. You might be a great candidate for this or other opportunities. 

  • Advanced degree (Ph.D. or Master's) in Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field.

  • 8+ years of experience building and deploying machine learning models into high-scale customer experiences.

  • Deep expertise in Deep Learning, Large Language Models (LLMs), and Reinforcement Learning.

  • Proven track record of building robust propensity models, customer segmentation frameworks, and anomaly/bot detection algorithms on large-scale behavioral data.

  • Expert-level proficiency in Python, PyTorch/TensorFlow, and SQL.

  • Strong architectural understanding of how ML models interact with both backend data pipelines (e.g., streaming features, Databricks, Snowflake) and frontend delivery systems (e.g., UI fragment rendering, caching strategies).

  • Very strong communication and stakeholder management skills.

  • Proven ability to translate complex statistical and algorithmic concepts into clear business value to influence non-technical leadership.

  • Relevant work experience in an Agile environment and in the e-commerce or marketing domain.

Why You'll Love Working Here

There is a lot to love about working at VistaPrint. We are an award winning Remote-First company. We're an inclusive community. We're growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team. 

About Us

VistaPrint is the design and marketing partner to millions of small businesses around the world. For over 20 years we've been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. Together, VistaCreate, 99designs by Vista and VistaPrint represent a full-service design, digital and print solution, elevating small businesses' presence in physical and digital spaces and powering them to achieve success. VistaPrint is focused on making great marketing and design accessible to every small business owner, allowing them to create a cohesive brand image for use in-store, online and on-the-go.

Commitment to Diversity, Equity, & Inclusion

VistaPrint exists to help our customers live their dreams. Each dream is unique - and the VistaPrint team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative, inclusive, and innovative. We strive to role model and live an inclusive culture of fairness, respect and belonging for all. And we work together to empower each other, creating a space in which each of us can spark our next great idea. 

Equal Opportunity Employer

VistaPrint, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.

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