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Internship Remote Forensic Science Jobs in Syracuse, NY

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

To thrive as a Remote Forensic Science Intern, you typically need a background in biology, chemistry, or criminal justice, strong analytical skills, and enrollment in or completion of relevant coursework. Familiarity with forensic software, digital evidence tools, and online research databases is commonly expected. Attention to detail, effective written communication, and the ability to work independently are standout soft skills for this role. These qualifications are vital to produce accurate forensic analyses, contribute to investigations remotely, and maintain rigorous documentation standards.

What types of projects or tasks can I expect to work on during a remote forensic science internship?

As a remote forensic science intern, you can typically expect to assist with data analysis, research projects, digital evidence review, and the preparation of case reports. While you may not handle physical evidence, you'll often use specialized software to analyze crime scene photos, laboratory results, or digital forensic data. Collaboration with forensic scientists and analysts is common, and you'll likely attend virtual meetings to discuss findings and contribute to ongoing investigations or academic research. This experience helps you build practical skills in forensic methods and professional communication.

What are remote forensic science internships?

Remote forensic science internships are work experiences that allow students or recent graduates to gain practical skills and knowledge in forensic science while working from a location outside of a traditional laboratory or office. Interns typically assist with research, digital forensics, data analysis, and case documentation, often using secure online platforms and digital tools. These internships provide valuable exposure to the field and can help build a foundation for a future career in forensic science, all while offering the flexibility of remote work.

What is the difference between Internship Remote Forensic Science vs Forensic Laboratory Technician?

AspectInternship Remote Forensic ScienceForensic Laboratory Technician
CredentialsTypically students or recent graduates; no formal certification requiredUsually requires a relevant degree; certifications may enhance prospects
Work EnvironmentRemote, often project-based or observationalLaboratory setting, hands-on analysis
Employer & Industry UsageEducational institutions, research projects, law enforcement internshipsCrime labs, law enforcement agencies, forensic labs
Search & Comparison IntentLearning opportunities, entry-level experienceTechnical skills, career advancement in forensic analysis

Internship Remote Forensic Science offers remote, educational experience for students or recent graduates, focusing on learning and observation. In contrast, Forensic Laboratory Technicians work hands-on in labs, performing detailed forensic analyses. Both roles are essential in the forensic industry but differ in environment, credentials, and career focus.

What are the most commonly searched types of Remote Forensic Science jobs in Syracuse, NY? The most popular types of Remote Forensic Science jobs in Syracuse, NY are:
What are popular job titles related to Internship Remote Forensic Science jobs in Syracuse, NY? For Internship Remote Forensic Science jobs in Syracuse, NY, the most frequently searched job titles are:
What job categories do people searching Internship Remote Forensic Science jobs in Syracuse, NY look for? The top searched job categories for Internship Remote Forensic Science jobs in Syracuse, NY are:
What cities near Syracuse, NY are hiring for Internship Remote Forensic Science jobs? Cities near Syracuse, NY with the most Internship Remote Forensic Science job openings:
Internship Remote Forensic Science jobs near you
Machine Learning Engineer New Grad 2024-2025 -Remote

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Syracuse, NY • Remote

$139.98K - $168.19K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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