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Sales - Machine Learning Engineer, NLP Job Opening In Singapore, Singapore – Now Hiring Apple Inc.


Job description

Imagine what you could do here.

At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly.

Bring passion and dedication to your job and there’s no telling what you could accomplish!Why Apple?At Apple, we believe our products begin with our people.

By hiring a diverse team we drive creative thought.

By giving that team everything they need we drive innovation.

By hiring incredible engineers we drive precision.

And through our collaborative process we build memorable experiences for our customers!We are looking for a highly skilled and experienced Machine Learning and Generative AI engineer who has a robust understanding of Large Language Models and Generative AI to help work on exciting technologies for future Apple products and bring it to live.

In this role, you will join a team of machine learning engineers with different specialization to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers.

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.

Description

In this role, you will focus on the following key areas:- You’ll be working in a team of machine learning engineers of different specialization to prototype and ship world class algorithms that pushes the state of the art.- Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields.- 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 into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.- Actively engaging in all aspects of model development, from ideation and experimentation to deployment.- 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.

Minimum Qualifications

  • 5+ years building NLP/AI software professionally and successfully releasing to customers.

  • 5+ years of industry experience building machine learning and deep learning based software applications.

  • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
  • M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.

Preferred Qualifications

  • Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
  • Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.

  • A strong track record of shipping products and publications / patents.

  • Strong understanding of Python, and related machine learning tools (e.g. TensorFlow, PyTorch, NLTK, spaCy, Keras).

  • Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.

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Required Skill Profession

Electrical & Energy Engineering


  • 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, NLP Job?

Great news! is currently hiring and seeking a Sales Machine Learning Engineer, NLP to join their team. Feel free to download the job details.

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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 Inc. 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, NLP 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 Sales Machine Learning Engineer, NLP?

Key qualifications for Sales Machine Learning Engineer, NLP typically include Electrical & Energy Engineering 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, NLP Job Success

Apple Inc. interview tips for Sales   Machine Learning Engineer, NLP

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

Before the Interview:

Research: Learn about the Apple Inc.'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 Sales Machine Learning Engineer, NLP interview at Apple Inc., 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 Apple Inc.'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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