Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Applied Machine Learning Engineer – Robotics & Perception Systems.
United States Jobs Expertini

Urgent! Applied Machine Learning Engineer – Robotics & Perception Systems Job Opening In Brooklyn – Now Hiring Blue Signal

Applied Machine Learning Engineer – Robotics & Perception Systems



Job description

Applied Machine Learning Engineer – Robotics & Perception Systems

Location: Brooklyn, NY (Hybrid)


Industry: Robotics, AI, & Intelligent Automation

Employment Type: Full-Time


Join a mission-driven tech company revolutionizing intelligent robotics for real-world applications.

From automated labs to next-generation logistics, this team develops AI-powered robotic platforms designed to interpret and respond to the world around them.

They are seeking a skilled Applied Machine Learning Engineer to bridge the gap between theoretical models and real-world robotic performance.


This is an opportunity to work at the intersection of machine learning, perception, and robotics.

You’ll build impactful AI systems, partner with a cross-functional team of engineers and scientists, and contribute to the deployment of intelligent machines operating in dynamic environments.


Key Responsibilities:


• Design and optimize machine learning models for perception, motion prediction, and decision-making in robotic systems.

• Collaborate closely with teams in robotics software, hardware, and computer vision to integrate learning-based solutions into real-time systems.

• Build pipelines for preprocessing, labeling, and analyzing multi-sensor datasets (e.g., visual, inertial, and range data).

• Prototype models in simulation and deploy them in production on physical robotic systems.

• Perform experimental validation, error analysis, and performance tuning in lab and field environments.

• Develop scalable, reproducible training pipelines using modern CI/CD and versioning tools.

• Monitor ML advancements and evaluate new techniques for potential integration into the robotics stack.


Required Qualifications:


• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.

• 3+ years of experience building and deploying ML models in applied settings, ideally involving robotics, automation, or real-world sensor data.

• Strong Python skills, with experience in ML libraries such as PyTorch, TensorFlow, and scikit-learn.

• Solid understanding of supervised and unsupervised learning, model generalization, and evaluation metrics.

• Experience with data workflows for large-scale sensor data (camera, lidar, IMU).

• Familiarity with containerization, CI/CD, and version-controlled model training environments.


Preferred Qualifications:


• Experience with robotic middleware frameworks (e.g., ROS or similar).

• Exposure to real-time inference on embedded or edge devices.

• Background in computer vision, reinforcement learning, or SLAM techniques.

• Knowledge of distributed training and multi-node experimentation workflows.


What This Role Offers:


• Impactful work deploying AI in physical systems with real-world users.

• A collaborative, high-caliber team focused on deep tech innovation.

• Access to cutting-edge robotic hardware, lab space, and sensor arrays.

• Competitive compensation including salary, equity, and comprehensive benefits.

• Flexible hybrid work model with support for career advancement and continuous learning.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Applied Machine Potential: Insight & Career Growth Guide


  • Real-time Applied Machine Jobs Trends in Brooklyn, United States (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Applied Machine in Brooklyn, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 10858 jobs in United States and 16 jobs in Brooklyn. This comprehensive analysis highlights market share and opportunities for professionals in Applied Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Applied Machine Learning Engineer – Robotics & Perception Systems Job?

    Great news! is currently hiring and seeking a Applied Machine Learning Engineer – Robotics & Perception Systems to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Blue Signal adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying United States laws and regulations
  • What Is the Average Salary Range for Applied Machine Learning Engineer – Robotics & Perception Systems Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Brooklyn. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Applied Machine Learning Engineer – Robotics & Perception Systems?

    Key qualifications for Applied Machine Learning Engineer – Robotics & Perception Systems typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Applied Machine Learning Engineer – Robotics & Perception Systems?

    To improve your chances of getting hired for Applied Machine Learning Engineer – Robotics & Perception Systems, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Applied Machine Learning Engineer – Robotics & Perception Systems Job Success
    Blue Signal interview tips for Applied Machine Learning Engineer – Robotics & Perception Systems

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Blue Signal's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Applied Machine Learning Engineer – Robotics & Perception Systems interview at Blue Signal, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Blue Signal's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Applied Machine Learning Engineer – Robotics & Perception Systems Positions

    Setting up job alerts for Applied Machine Learning Engineer – Robotics & Perception Systems is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!