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Remote Computer Science Graduate Jobs in New Jersey

Databricks

$105K - $145K/yr

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations ...

Quora

$139K - $168K/yr

A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or ... LI-SS2 LI-REMOTE

New

Quora

$139K - $168K/yr

A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or ... LI-SS2 LI-REMOTE

New

Quora

$139K - $168K/yr

A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or ... LI-SS2 LI-REMOTE

New

Quora

$139K - $168K/yr

A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or ... LI-SS2 LI-REMOTE

New

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109K - $157K/yr

... Science, Statistics, Mathematics, Computer Science, Engineering, or a related fieldStrong ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

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Remote Computer Science Graduate information

What is the difference between Remote Computer Science Graduate vs Remote Software Developer?

AspectRemote Computer Science GraduateRemote Software Developer
Required CredentialsBachelor's in Computer Science or related fieldProven coding skills, often with a degree or equivalent experience
Work EnvironmentEntry-level, project-based, often internships or apprenticeshipsFull-time, collaborative coding environment, often with team tools
Employer & Industry UsageTech companies, startups, research labsSoftware firms, tech companies, SaaS providers
Search & Comparison IntentEntry-level roles, internships, career startersDevelopment roles, coding projects, software engineering

The main difference is that a Remote Computer Science Graduate is typically an entry-level candidate with a degree seeking initial roles, while a Remote Software Developer is a more experienced professional actively coding and developing software. Both roles often overlap in skills and work environment, but the Software Developer role usually requires proven coding experience beyond the degree.

How do remote computer science graduates typically collaborate with team members and stay engaged while working from home?

Remote computer science graduates often use a range of digital tools like Slack, Zoom, and GitHub to stay connected with their teams, participate in code reviews, and attend virtual meetings. Regular check-ins and agile stand-ups help maintain communication and ensure everyone is aligned on project goals. Many companies also encourage open channels for questions and knowledge sharing, which helps new graduates feel supported and integrated. Staying proactive in communication and seeking mentorship opportunities can further enhance engagement and career growth when working remotely.

What are remote computer science graduates?

Remote computer science graduates are individuals who have completed a degree in computer science and work in jobs that allow them to perform their duties from locations outside of a traditional office, often from home. These graduates leverage their programming, problem-solving, and analytical skills to contribute to software development, data analysis, IT support, and other technical roles remotely. The demand for remote computer science professionals has grown due to advancements in technology and the increasing acceptance of remote work by employers. Remote roles can offer greater flexibility and access to global job opportunities.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Graduate, and why are they important?

To thrive as a Remote Computer Science Graduate, a strong foundation in programming languages (such as Python, Java, or C++), algorithms, data structures, and a relevant computer science degree are essential. Familiarity with version control systems like Git, cloud platforms, and common development tools is typically required. Strong communication, time management, and self-motivation are crucial soft skills for collaborating effectively and staying productive in a remote environment. These skills and qualities enable graduates to successfully contribute to distributed teams, solve complex problems, and adapt to the dynamic demands of remote tech roles.
What are the most commonly searched types of Computer Science Graduate jobs in New Jersey? The most popular types of Computer Science Graduate jobs in New Jersey are:
What are popular job titles related to Remote Computer Science Graduate jobs in New Jersey? For Remote Computer Science Graduate jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Graduate jobs in New Jersey look for? The top searched job categories for Remote Computer Science Graduate jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Computer Science Graduate jobs? Cities in New Jersey with the most Remote Computer Science Graduate job openings:
Remote Computer Science Graduate jobs near you
Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Sr. AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Databricks

On-site, Remote

$105K - $145K/yr

Other

Re-posted 13 days ago

Job description

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic onsite work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

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