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Software Engineer - Machine Learning Data Job Opening In Singapore, Singapore – Now Hiring Motional


Job description

Job Overview
Join Motional as a Software Engineer - Machine Learning Data.

Our Perception team works on the tech stack responsible for perceiving dynamic scenarios and tracking/classifying objects around our robo-taxi.


We are seeking engineers to advance our machine learning (ML) data pipelines, which are critical for efficient end-to-end ML development.


Responsibilities
Support the creation, maintenance, and optimization of internal data, training & evaluation pipelines
Participate in design reviews and code reviews of team-owned pipelines
Work closely with ML engineers to enhance tools and processes throughout the ML development lifecycle
Troubleshoot, debug, and optimize machine learning workflows for efficiency and performance
Qualifications
Bachelor's Degree in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field
2+ years of professional experience in software engineering
Fluency in Python, including standard scientific computing libraries and Python bindings development experience
Expertise in concurrency, parallel processing, and database systems
Advanced knowledge of software engineering principles
Bonus Points
Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
Experience with deep learning frameworks such as Pytorch
Experience with distributed computing frameworks like K8s and Ray
Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field; or equivalent industry experience
Motional is an equal opportunities employer and welcomes applications from all qualified candidates.


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Required Skill Profession

Other General


  • Job Details

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Unlock Your Software Engineer Potential: Insight & Career Growth Guide


Real-time Software Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Software Engineer in Singapore, Singapore, highlighting market share and opportunities for professionals in Software Engineer roles.

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Are You Looking for Software Engineer Machine Learning Data Job?

Great news! is currently hiring and seeking a Software Engineer Machine Learning Data 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 Motional adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Software Engineer Machine Learning Data Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. 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 Software Engineer Machine Learning Data?

Key qualifications for Software Engineer Machine Learning Data typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Software Engineer Machine Learning Data Job Success

Motional interview tips for Software Engineer   Machine Learning Data

Here are some tips to help you prepare for and ace your Software Engineer Machine Learning Data job interview:

Before the Interview:

Research: Learn about the Motional'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.

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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 Software Engineer Machine Learning Data interview at Motional, 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 Motional'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!

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