📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Applied Intuition 👥 Experience 3-5 years 🎓 Qualification Bachelor’s Degree in CS / Engineering / Related Technical Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python C++ Deep Learning ML Modeling Model Deployment Optimization Software Engineer – Prediction & Planning ML at Applied Intuition — Full Details & How to Apply Applied Intuition is seeking a Software Engineer – Prediction & Planning ML in Bengaluru, Karnataka, India , where you'll leverage cutting-edge ML technologies to drive impactful solutions. This role offers a unique opportunity to work on predictive algorithms that enhance the efficiency of autonomous systems, directly impacting user safety and performance. The demand for Software Engineer – Prediction & Planning ML jobs is surging in the technology sector, particularly in India, where machine learning engineers are becoming increasingly vital for innovation. As companies like Applied Intuition expand, the need for skilled professionals who can navigate complex ML modeling and deployment challenges is more critical than ever. Applied Intuition is a leader in simulation software for autonomous vehicles, having rapidly grown to over 200 employees since its founding in 2016 . The company fosters a culture of mentorship and skill development, making it an ideal environment for both seasoned professionals and fresh graduates looking to advance their careers. This role is perfect for 2023, 2024, 2025, 2026 graduates with a Bachelor’s Degree in CS / Engineering / Related Technical Field and 3-5 years experience . While the salary is Not Disclosed , the potential for career growth and skill enhancement is substantial. In this position, you will work with essential skills such as Python , C++ , Deep Learning , ML Modeling , Model Deployment , and Optimization . This exposure not only enhances your technical capabilities but also opens doors to advanced roles in machine learning and software engineering, positioning you for a robust career trajectory. 📊 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 Software Engineer – Prediction & Planning ML at Applied Intuition is pivotal in enhancing predictive capabilities for autonomous systems through advanced machine learning techniques. Develop and optimize machine learning models using Python to enhance predictive capabilities for autonomous systems, focusing on libraries like TensorFlow and PyTorch. Utilize C++ for performance-critical components, ensuring efficient execution of algorithms in real-time applications, particularly in high-stakes environments. Collaborate with cross-functional teams, including data scientists and product managers, to align model outputs with user needs and enhance overall product functionality. Analyze model performance metrics to identify areas for improvement, implementing data-driven optimizations to ensure robust model performance. Take ownership of end-to-end model deployment processes, ensuring seamless integration into production environments using CI/CD pipelines. Document technical processes and model specifications to facilitate knowledge sharing and compliance, ensuring clarity in model development. Engage with clients to understand their requirements and troubleshoot issues related to model performance, ensuring client satisfaction and model reliability. This role fosters an ownership culture, allowing engineers to directly impact the success of autonomous systems through their innovative contributions. Required Skills & Technical Competencies The ideal candidate must possess a robust skill profile, emphasizing technical expertise in machine learning and software development. Technical Skills Python — advanced — essential for developing and testing machine learning algorithms, particularly using libraries like TensorFlow and PyTorch. C++ — advanced — critical for optimizing performance in real-time applications, requiring a solid understanding of memory management and concurrency. Deep Learning — advanced — applied in creating complex models that improve prediction accuracy, especially in autonomous systems. ML Modeling — advanced — involves building, training, and validating models, requiring familiarity with various algorithms and data preprocessing techniques. Model Deployment — intermediate — knowledge of CI/CD pipelines and cloud services is crucial for ensuring models are production-ready and scalable. When showcasing these technical skills in your resume or interview, emphasize specific projects and outcomes that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong technical foundation and relevant experience in software engineering and machine learning. Candidates must hold a Bachelor's Degree in Computer Science , Engineering , or a related technical field. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply. The role requires 3-5 years of experience, but freshers with strong technical skills and internships may be considered. A minimum academic performance of 60% is expected to ensure a solid understanding of core concepts. 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, including your educational background, relevant experience, and links to your portfolio or GitHub showcasing your projects. Pro tip: Highlight specific projects where you utilized Python and C++ to solve real-world problems in your application. Salary for Software Engineer – Prediction & Planning ML at Applied Intuition 💰 Compensation Not Disclosed The advertised compensation for the Software Engineer – Prediction & Planning ML role at Applied Intuition 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 Software Engineer – Prediction & Planning ML Upskilling with the right resources significantly enhances your chances of selection for this specialized role. Recommended Courses & Resources Python — Mastering Python is essential for developing machine learning models effectively. C++ — Proficiency in C++ is crucial for optimizing performance in software engineering tasks. KodNest — This platform offers hands-on projects that are beneficial for real-world ML applications. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting to tailor your resume — Customize your resume to align with the job description's specific skills. ❌ Failing to showcase relevant projects — Highlight internships or projects that demonstrate your ML and software engineering experience. ❌ Overloading your resume with generic phrases — Use specific achievements and skills instead of vague statements. ❌ Ignoring formatting and clarity — Ensure your resume is easy to read and well-organized. ❌ Not preparing for technical interviews — Practice coding problems and ML concepts to improve your interview performance. ❌ Submitting an application without proofreading — Always check for errors to reflect your attention to detail. Before You Apply — Checklist ✅ Research Applied Intuition to understand its products and culture before applying. ✅ Update your resume to reflect relevant skills and experiences tailored to the job description. ✅ Prepare a cover letter that highlights your interest in machine learning and why you want to work at Applied Intuition . ✅ Gather references who can vouch for your technical skills and work ethic. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Practice common technical interview questions related to ML and software engineering. ✅ Double-check the application deadline and submit your application well in advance. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Software Engineer – Prediction & Planning ML Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Software Engineer Machine Learning Python C++ Deep Learning Model Deployment Optimization ML Modeling Data Analysis Predictive Algorithms Autonomous Systems Collaboration Resume Tips for This Role Highlight your experience with Python and C++ in relevant projects to demonstrate technical proficiency. Emphasize any internships or projects related to machine learning or autonomous systems to align with the company's focus. Include a link to your GitHub or portfolio showcasing your coding skills and ML projects. Optimize your resume for ATS by using keywords from the job description, particularly around ML and software engineering. Avoid including unrelated work experience that does not demonstrate your technical skills or relevance to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including generic job descriptions; focus on specific achievements and skills relevant to the role. How to Apply for Software Engineer – Prediction & Planning ML at Applied Intuition Apply Now — Applied Intuition Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your relevant skills and experiences. After submission, expect a confirmation email regarding your application status. Use the application tracking feature to monitor the progress of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Applied Intuition NexisGrow.com does not charge any fees for job applications. Applied Intuition Applied Intuition , founded in 2016 , is headquartered in Silicon Valley and has a significant presence in Bengaluru, Karnataka . With over 200 employees , the company is rapidly expanding its global footprint, focusing on simulation software for autonomous vehicles. This strategic location allows Applied Intuition to tap into the rich talent pool in India. The core offerings of Applied Intuition include its innovative simulation platform, which enables developers to test and validate autonomous systems effectively. The platform is designed to ensure safety and reliability in autonomous vehicle technology, making it a vital tool for engineers in the industry. Additionally, the company provides robust solutions for ML Modeling and Model Deployment . Applied Intuition has received accolades for its collaborative culture, boasting a 4.5-star rating on Glassdoor. The company emphasizes employee growth through various programs, including mentorship and skill development initiatives. This focus on nurturing talent has made Applied Intuition a desirable workplace for those looking to advance their careers in technology. Recently, Applied Intuition secured $175 million in Series D funding, which will facilitate further expansion and technological advancements in the autonomous vehicle sector. This funding is expected to enhance their product offerings and accelerate the development of cutting-edge solutions in the industry. For freshers in technology, Applied Intuition offers a unique career launchpad. The opportunity to work on groundbreaking technology in a supportive environment fosters rapid professional growth. With a focus on innovation and employee development, Applied Intuition is well-positioned to help new talent thrive in the evolving tech landscape. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 jobs.ashbyhq.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Software Engineer – Prediction & Planning ML at Applied Intuition? Eligibility Tap to expand + Answer Candidates with Bachelor’s Degree in CS / Engineering / Related Technical Field and 3-5 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, C++, Deep Learning, ML Modeling, Model Deployment. 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 Applied Intuition? 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, C++, Deep Learning, ML Modeling, Model Deployment. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Software Engineer – Prediction & Planning ML interview? Preparation Tap to expand + Answer (1) Core concepts of Python, C++, Deep Learning, ML Modeling, Model Deployment, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Applied Intuition research, (5) Clear communication. ? What is the work culture like at Applied Intuition? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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