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Tech Lead Manager (Machine Learning Focused) - TikTok Search Algorithms (Ranking, Relevance, Understanding, User Engagement, NLP) image - Rise Careers
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Tech Lead Manager (Machine Learning Focused) - TikTok Search Algorithms (Ranking, Relevance, Understanding, User Engagement, NLP)

ResponsibilitiesTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsCreation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.About The TeamOn the TikTok Search Team, you will have the opportunity to develop and apply cutting edge machine learning technologies in real-time large-scale systems, which serve billions of search requests every day. Via advanced NLP and multi-modal models, our projects impact and improve the search experience for hundreds of millions of users globally. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.Responsibilities• Optimize the searching quality to provide TikTok's users the best search experience• Combine your understanding of product objectives and take full advantage of modern machine learning and information retrieval techniques to improve search quality and perception• Build the core systems and algorithms development including query understanding, result ranking, query recommendation, system reliability, and etc.• Provide technical leadership to drive search strategy iteration including query understanding, recall & ranking, query recommendation, reliability, etc.• Provide guidance, regular feedback, and mentorship to team members.QualificationsMinimum qualifications:• Bachelor or advanced degree in computer science or a related technical disciplineProficient coding skills and strong algorithm & data structure basis• Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning• Effective communication and teamwork skills.• Proficiency in the following languages but not limited to: C/C++, Python, Java or GolangPreferred Qualifications:• 5+ years of related industry experience• Experience as tech lead or leading complex and large projectsTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too..TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $224000 - $410000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and• Exercising sound judgment.
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$317000 / YEARLY (est.)
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$224000K
$410000K

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What You Should Know About Tech Lead Manager (Machine Learning Focused) - TikTok Search Algorithms (Ranking, Relevance, Understanding, User Engagement, NLP), TikTok

Are you ready to take your tech expertise to the next level? Join TikTok as a Tech Lead Manager with a focus on Machine Learning, right in the vibrant locale of San Jose, CA! At TikTok, we pride ourselves on being the zenith of innovation in the short-form mobile video space. Our mission is simple yet profoundly impactful: to inspire creativity and bring joy to users across the globe. As a Tech Lead Manager, you'll have a chance to dive into the exciting world of search algorithms that underpin our platform, tackling challenges by optimizing the search quality for billions of requests daily. You'll be surrounded by a team that encourages self-direction and celebrates intellectual curiosity. Here, every day presents an opportunity to learn, innovate, and collaborate on cutting-edge machine learning technologies, all while focusing on user engagement and natural language processing. You'll lead the charge by building robust systems, providing mentorship, and driving iterative strategy for algorithms that make TikTok the fun, creative community it is today. So if you have a robust technical background, experience in NLP, and a passion for leading projects that reach billions, TikTok is the perfect fit for you. Together, let’s reshape the way people search and discover creativity!

Frequently Asked Questions (FAQs) for Tech Lead Manager (Machine Learning Focused) - TikTok Search Algorithms (Ranking, Relevance, Understanding, User Engagement, NLP) Role at TikTok
What are the main responsibilities of a Tech Lead Manager at TikTok?

As a Tech Lead Manager at TikTok, your role will revolve around optimizing search experiences for users. This includes building and refining the search algorithms that enhance query understanding, result ranking, and query recommendations. You'll also be responsible for providing technical leadership, guiding your team in strategy iterations, and ensuring system reliability—all while leveraging advanced machine learning techniques.

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What qualifications do I need to apply for the Tech Lead Manager position at TikTok?

To apply for the Tech Lead Manager position at TikTok, candidates should have a Bachelor or advanced degree in Computer Science or a closely related field. You should possess strong coding skills with a solid foundation in algorithms and data structures, and experience in areas like NLP, ranking systems, or distributed systems. Leadership experience in managing complex projects is also preferred, particularly if you have five or more years in the industry.

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What programming languages should I know for the Tech Lead Manager role at TikTok?

For the Tech Lead Manager position at TikTok, proficiency in programming languages such as C/C++, Python, Java, or Golang is essential. These languages are crucial for developing and maintaining the algorithms that drive our search systems, so deep knowledge and experience with them will set you apart as a candidate.

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How does TikTok support employees in their career growth as a Tech Lead Manager?

TikTok is deeply committed to employee growth and offers numerous opportunities for personal and professional development. As a Tech Lead Manager, you will receive regular feedback and mentoring, enabling you to refine your skills and lead your team effectively. The culture at TikTok promotes intellectual curiosity and encourages people to take on new challenges, which is essential for your career advancement.

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What is the compensation range for the Tech Lead Manager position at TikTok?

The compensation range for the Tech Lead Manager position at TikTok in San Jose, CA is between $224,000 and $410,000 annually. This range can vary based on factors such as qualifications, skills, and experience, with additional benefits including bonuses, stock units, and comprehensive health coverage contributing to the total package.

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Common Interview Questions for Tech Lead Manager (Machine Learning Focused) - TikTok Search Algorithms (Ranking, Relevance, Understanding, User Engagement, NLP)
How do you approach optimizing search algorithms in your projects?

In your answer, focus on explaining any methodologies you use, like A/B testing or user data analysis. Share specific examples of past projects where you successfully improved search capabilities, highlighting the techniques and technologies employed.

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Can you explain your experience with natural language processing (NLP) in search systems?

Use this chance to discuss specific NLP techniques you've applied, such as tokenization, named entity recognition, or sentiment analysis. Relate it to how these techniques enhanced search relevance or user engagement in your previous roles.

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Describe a challenge you faced as a tech lead on a large project.

Address a specific challenge, providing context, your thought process, and the steps you took to overcome it. It’s important to demonstrate your problem-solving skills, how you managed your team, and ultimately how the project succeeded.

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What strategies do you use to ensure team collaboration on technical projects?

Highlight your approach to fostering a collaborative environment. Discuss regular meetings, code reviews, and open communication channels you implement to keep everyone aligned and engaged on common goals.

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How do you keep up-to-date with the latest trends in machine learning and search algorithms?

Discuss the resources you rely on, such as academic journals, industry conferences, trade publications, or online courses. This shows your commitment to continuous learning and how it influences your work and leadership.

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How do you prioritize features when working on search improvements?

You might want to mention how you assess user feedback, analyze data, and balance the impact on user experience versus technical feasibility. Emphasize the importance of aligning with overall product objectives.

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What is your experience with mentorship and supporting junior developers?

Share your experiences mentoring less experienced team members, including any formal mentorship programs you've been a part of. Highlight the outcomes, such as improved performance or a more cohesive team.

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Can you describe a time when you improved a machine learning model's performance?

Provide a solid example that includes the problem, your approach to enhancing the model, the techniques applied (such as tuning hyperparameters or changing the architecture), and the measurable results you achieved.

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What do you think is critical for ensuring the reliability of search systems?

Discuss the aspects that contribute to search system reliability, such as robust testing, monitoring, and continuous feedback loops. Mention any relevant tools or practices you utilize to maintain system performance.

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How do you handle tight deadlines in project management?

Share your strategies for managing time and resources effectively under pressure. Discuss prioritization techniques and how you communicate with your team to ensure that everyone stays focused and motivated.

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Our mission is to inspire creativity and bring joy.

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BADGES
Badge Flexible CultureBadge Future MakerBadge Global CitizenBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Take Risks
Casual Dress Code
Startup Mindset
Emails over Meetings
Collaboration over Competition
Fast-Paced
Growth & Learning
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Mixe-Ability Accomodations
Work Visa Sponsorship
Commuter Benefits
Employee Resource Groups
Performance Bonus
Health Savings Account (HSA)
Flexible Spending Account (FSA)
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
December 18, 2024

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