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Sales - Machine Learning Engineer, Computer Vision Job Opening In Singapore, Singapore – Now Hiring Apple


Job description

Imagine what you could do here.

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries.

It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.

Join Apple, and help us leave the world better than we found it.

We are looking for a highly skilled and experienced Computer Vision and Generative AI engineer to help work on exciting technologies for future Apple products and bring it to live.

In this role, you will join a team of computer vision and machine learning engineers to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.

Description

In this role, you will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers, have deep expertise in both practical and theoretical aspects of 3D Computer Vision algorithms.

This includes proficiency in generative models, 3D reconstruction, multi-modal models, pose estimation, or tracking.

This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.

Responsibilities

  • You'll be working in a team of computer vision and machine learning engineers to prototype and ship world class algorithms that pushes the state of the art.

  • Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs.

    building custom solutions and utilizing both
  • Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results
  • Partner closely with software engineers to implement these models in our production environment to enable product features for worldwide audience
  • Communicate results of analyses to business partners and executives
    Maintain expertise in the latest advancements in AI technology.

    Partnering with your team members to prepare presentations, papers, and patents for your inventions engineer to real business problems

Minimum Qualifications

  • 5+ years building NLP/AI software professionally and successfully releasing to customers
  • 5+ years of industry experience in CVML and an advanced degree (Ph.D./M.Sc.) in CVML or similar field
  • A strong track record of shipping products and publications / patents
  • Strong experience in 3D Computer Vision algorithms
  • Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models
  • Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy,Keras)
  • Solid programming skills with C/C++ and Swift
  • Ph.D. in Computer Science, Machine Learning, Computer vision or related field or M.S. in related field applying Computer Vision machine learning

Preferred Qualifications

  • Experience in machine learning, preferably in 3D computer vision applications
  • Solid foundation in 3D geometry and linear algebra
  • Experience with human factors, especially eye tracking and human input interaction.

  • Experience in 3D graphics and rendering
  • Experience in modern Novel View Synthesis methods, suchas NeRF, Gaussian Splatting, etc., is a plus
    Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design

Submit CV

Required Skill Profession

Other General


  • Job Details

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Unlock Your Sales Machine Potential: Insight & Career Growth Guide


Real-time Sales Machine 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 Sales Machine in Singapore, Singapore, highlighting market share and opportunities for professionals in Sales Machine roles.

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Are You Looking for Sales Machine Learning Engineer, Computer Vision Job?

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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 Apple 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 Sales Machine Learning Engineer, Computer Vision 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.

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Key qualifications for Sales Machine Learning Engineer, Computer Vision 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 Sales Machine Learning Engineer, Computer Vision Job Success

Apple interview tips for Sales   Machine Learning Engineer, Computer Vision

Here are some tips to help you prepare for and ace your Sales Machine Learning Engineer, Computer Vision job interview:

Before the Interview:

Research: Learn about the Apple'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.

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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.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Sales Machine Learning Engineer, Computer Vision interview at Apple, research the company, understand the job requirements, and practice common interview questions.

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

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