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Remote Deep Learning Jobs in Sicklerville, NJ (NOW HIRING)

... a fully remote online learning team, helping reduce workload and ensure a smooth fall semester ... deep links to third-party learning tools and integrate external content into Canvas • Support ...

... a fully remote online learning team, helping reduce workload and ensure a smooth fall semester ... deep links to third-party learning tools and integrate external content into Canvas • Support ...

We are a globally recognised leader in personal development, and digital learning in the success ... Feel the deep satisfaction of truly making a positive impact on the world Important Note: This path ...

Tax Manager

Bala Cynwyd, PA · On-site +1

$104K - $137K/yr

By bringing together proven expertise, deep understanding, and strategic foresight for fast-growing ... Mentor and develop junior staff members, fostering a culture of learning, growth, and collaboration ...

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Remote Deep Learning information

See Sicklerville, NJ salary details

$10.8K

$82K

$136.9K

How much do remote deep learning jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote deep learning in Sicklerville, NJ is $82,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $135,900.00 per year, depending on experience, location, and employer.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

How can I make $100,000 a year working from home?

A remote deep learning professional can reach a $100,000 annual income by gaining advanced skills in machine learning frameworks, building a strong portfolio, and working for companies that offer competitive salaries or freelance projects. Earning this level often requires experience, specialized knowledge, and the ability to deliver high-quality models efficiently. Certifications in deep learning and proficiency with tools like Python, TensorFlow, or PyTorch can also enhance earning potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation packages.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

Which 3 jobs will survive AI?

In the field of remote deep learning, roles such as data scientists, machine learning engineers, and AI research scientists are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation by AI systems. Continuous learning and staying updated with new tools and techniques are essential for long-term career stability in this area.

How to make $1000 a week remotely?

Remote deep learning professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building a strong portfolio, acquiring relevant skills in Python and machine learning frameworks, and obtaining certifications can help increase earning potential. Consistent work and specialized expertise are key to reaching this income level remotely.

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

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.
What job categories do people searching Remote Deep Learning jobs in Sicklerville, NJ look for? The top searched job categories for Remote Deep Learning jobs in Sicklerville, NJ are:
What cities near Sicklerville, NJ are hiring for Remote Deep Learning jobs? Cities near Sicklerville, NJ with the most Remote Deep Learning job openings:
Infographic showing various Remote Deep Learning job openings in Sicklerville, NJ as of July 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $82,029 per year, or $39.4 per hour.

Principal Data Scientist, Generative Recommendations & AI- Spain Remote

Cimpress Usa

Chatsworth, NJ • On-site, Remote

Other

Posted 28 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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