? Job Details at a Glance ? Location Remote — India ? Company 10a Labs ? Experience 5+ years ? Qualification 5+ years. Hands-on with Python, PyTorch, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience ? Eligible Batch 2023, 2024, 2025, 2026 ? Job Type Full Time ? Salary Not Disclosed ? Industry Technology ? Key Skills Python PyTorch AI LLM agents machine learning Machine Learning Engineer at 10a Labs — Full Details &

How to Apply 10a Labs is seeking a Machine Learning Engineer to innovate in AI safety, offering a unique opportunity to work remotely from India with a team trusted by Fortune 10 companies. This role is critical as the demand for AI safety and model evaluation surges, making it a pivotal position in the evolving landscape of technology. The significance of this Machine Learning Engineer role cannot be overstated.

As organizations increasingly rely on AI technologies, the need for robust and secure AI systems is paramount. This position directly contributes to the safety and effectiveness of AI deployments, ensuring that companies can leverage these technologies with confidence. 10a Labs has quickly established itself as a trusted partner for AI unicorns and Fortune 10 companies since its founding in 2020

- This rapid growth underscores the company’s impact and commitment to innovation, making it an ideal environment for professionals looking to advance their careers in AI. We encourage 2023, 2024, 2025, 2026 graduates with 5+ years of experience, particularly those who are hands-on with Python, PyTorch, AI / LLM agents, and possess relevant technical qualifications and demonstrated shipping experience , to apply. The salary for this role is Not Disclosed , reflecting the competitive nature of the position.

In this role, you will gain invaluable experience with advanced machine learning techniques, including Python and PyTorch

- Collaborating with top-tier engineers and analysts will not only enhance your skill set but also open doors to future opportunities in AI and technology, setting you apart in the job market. ? Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role &

Responsibilities The core mission of the Machine Learning Engineer at 10a Labs is to innovate and enhance AI systems through rigorous experimentation and collaboration, ensuring safety and effectiveness in real-world applications. Design and run ML experiments using Python to evaluate the robustness of AI systems, focusing on real-world applicability. Develop and evaluate models across reinforcement learning and NLP/LLMs, utilizing PyTorch for implementation and optimization.

Collaborate closely with red teamers and subject-matter experts to enhance AI safety protocols, ensuring compliance with industry standards. Analyze performance metrics to assess the effectiveness of machine learning models, employing statistical methods for validation. Take initiative in proposing new experimental designs to address ambiguous technical challenges, leveraging advanced AI techniques.

Document findings and communicate results effectively to cross-functional teams, ensuring clarity and actionable insights. Solve complex problems related to AI deployment and safety, engaging with clients to understand their specific needs and requirements. Ownership culture at 10a Labs empowers you to make impactful contributions, directly influencing the development and safety of cutting-edge AI technologies.

Required Skills &

- Technical Competencies The ideal candidate must possess a robust skill profile, particularly in advanced technical competencies essential for developing and evaluating AI systems.

Technical Skills

Python — advanced — essential for developing and implementing machine learning algorithms, ensuring robust AI solutions. PyTorch — advanced — crucial for building and training deep learning models, particularly in AI safety applications. AI — advanced — used daily to create and evaluate language models, ensuring they meet established safety standards.

LLM agents — advanced — integral for developing sophisticated language models that enhance user interaction and safety. Reinforcement learning — intermediate — a key area of focus, requiring familiarity with algorithms and their applications in AI. Model evaluation techniques — advanced — important for assessing the performance and reliability of AI systems in practical scenarios.

When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications.

Eligibility Criteria





This role is designed for candidates with a strong technical foundation and relevant experience in machine learning and AI technologies. A degree in Computer Science , Engineering , or related fields is required to ensure foundational knowledge. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply their academic knowledge.

While 5+ years of experience is preferred, freshers with relevant internships or projects may still be considered. A minimum CGPA of 7.0 is expected to ensure a strong academic background in technical subjects. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a candidate's application.

Documentation &

- Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects and experiences. Include links to your GitHub or portfolio that demonstrate your technical skills and contributions.

Pro tip: Tailor your application to highlight specific projects that align with 10a Labs ' focus on AI safety and model evaluation.

Salary for Machine Learning Engineer at 10a Labs ? Compensation Not Disclosed The advertised compensation for the Machine Learning Engineer role at 10a Labs is Not Disclosed

- The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage.

Recommended

Courses &

- Preparation Tips for Machine Learning Engineer Upskilling with the right resources significantly enhances your chances of selection for the Machine Learning Engineer role at 10a Labs

- Recommended Courses &

- Resources Python — Essential for developing machine learning algorithms and applications. PyTorch — Crucial for building and training deep learning models effectively. machine learning — Provides foundational knowledge and techniques in machine learning. KodNest — Offers hands-on projects to apply machine learning concepts in real-world scenarios. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply.

Common

Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to machine learning. ❌ Neglecting to include a portfolio — Showcase your technical capabilities with a GitHub link. ❌ Using generic language — Reflect the specific requirements of the role in your application. ❌ Overlooking collaboration experiences — Emphasize teamwork in technical contexts. ❌ Not preparing for technical interviews — Practice relevant machine learning problems. ❌ Ignoring AI safety focus — Address this in your application to align with company values.

Before You

Apply — Checklist ✅ Research 10a Labs and understand its core values and mission before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the . ✅ Prepare a portfolio or GitHub showcasing your machine learning projects. ✅ Review your academic performance and ensure it meets the company's expectations. ✅ Gather references who can speak to your technical abilities and work ethic. ✅ Practice common machine learning interview questions and scenarios. ✅ Ensure your application is free from errors and clearly communicates your qualifications. ✅ Submit your application through the provided URL and track its status.

Resume

Tailoring &
- ATS Keywords for Machine Learning Engineer Optimizing your resume for ATS is crucial for standing out in the application process for the Machine Learning Engineer role. ATS Keywords to Include Machine Learning Python PyTorch AI Safety Model Evaluation Reinforcement Learning NLP LLM Agents Data Analysis Cross-functional Collaboration Technical Documentation Problem Solving Resume Tips for This Role Highlight relevant projects that demonstrate your experience with machine learning and AI technologies. Emphasize teamwork and collaboration experiences, particularly in technical settings. Include a link to your GitHub or portfolio showcasing your coding skills and projects. Optimize your resume for ATS by including keywords from the . Avoid including unrelated work experience that does not showcase your technical skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers.

Pro Tip: Do not include unrelated work experience that does not demonstrate your technical skills for this role.

How to Apply for Machine Learning Engineer at 10a Labs Apply Now — 10a Labs Visit the application portal at the provided URL to start your application.



Upload a tailored resume that highlights your relevant skills and experiences. Fill out the application form carefully, ensuring all information is accurate.

After submission, expect to receive a confirmation email regarding your application status. Use the application tracking feature to monitor the progress of your application. Applications reviewed on rolling basis — early submission recommended.

Apply

Now — 10a Labs NexisGrow.com does not charge any fees for job applications. 10a Labs 10a Labs was founded in 2020 and has quickly expanded its global footprint, now operating in multiple countries with a remote workforce primarily based in India
- The company has grown to include a diverse team of over 150 professionals , focusing on AI safety and threat intelligence for leading tech firms. This rapid scale reflects the increasing demand for innovative AI solutions. Specializing in adversarial red teaming , model evaluations , and intelligence collection , 10a Labs provides comprehensive services that ensure safe AI deployment.

Their flagship product, the AI Safety Toolkit , is designed to help organizations assess and mitigate risks associated with AI technologies, reinforcing their commitment to responsible AI practices. The company culture at 10a Labs is characterized by a strong emphasis on innovation and employee development. They have been recognized in various industry publications for their unique work environment and have implemented programs that support continuous learning and professional growth.

Employee feedback on platforms like Glassdoor highlights the collaborative atmosphere and opportunities for skill enhancement. Recently, 10a Labs secured significant funding to further enhance its AI safety solutions, marking a pivotal moment in its growth trajectory. This investment will enable the company to expand its research initiatives and develop cutting-edge technologies that address emerging challenges in AI safety, solidifying its position in the tech industry.

For freshers looking to launch their careers in technology, 10a Labs offers a unique platform to work on pioneering AI safety projects. The hands-on experience gained here, combined with mentorship from industry experts, provides a solid foundation for a successful career in the rapidly evolving tech landscape.

Company Details Industry Technology Location

Remote — India Connect With Us Careers Apply Now Website ? job-boards.greenhouse.io Frequently Asked Questions Interview

- Role

- Salary
- Growth ? Who can apply for Machine Learning Engineer at 10a Labs?

Eligibility

Tap to expand + Answer Candidates with 5+ years. Hands-on with Python, PyTorch, AI / LLM agents. Relevant technical qualification and demonstrated shipping experience and 5+ years experience are eligible.

Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role?

Skills Tap to expand + Answer Key skills: Python, PyTorch, AI, LLM agents, machine learning. Strong fundamentals and practical project experience matter most. ? What is the salary for this position?

Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at 10a Labs?

Interview

Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite?

Work Mode

Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role?

Growth

Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply?

Application

Tap to expand + Answer Apply via the official link in How to Apply section.

Highlight: Python, PyTorch, AI, LLM agents, machine learning. ? Is there a probation period?

Probation

Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Machine Learning Engineer interview?

Preparation

Tap to expand + Answer (1) Core concepts of Python, PyTorch, AI, LLM agents, machine learning, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) 10a Labs research, (5) Clear communication. ? What is the work culture like at 10a Labs?

Culture

Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. ? Explore More on NexisGrow More jobs in Remote — India Browse all Tech jobs Latest Fresher jobs More jobs at 10a Labs Work From Home jobs Ready to Apply? Don't Miss This Prospect!

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