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ML Tooling & Dev, Software Engineering Manager Job Opening In Menlo Park – Now Hiring Meta


Job description

**Summary:**
Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team.

As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world.

Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility.
**Required Skills:**
ML Tooling & Dev, Software Engineering Manager Responsibilities:
1.

Lead and manage a team of software engineers to deliver high-quality products and solutions
2.

Collaborate with cross-functional teams to drive technical innovation
3.

Develop and implement technical strategies to achieve business objectives
4.

Foster an environment of continuous learning, growth, and improvement
**Minimum Qualifications:**
Minimum Qualifications:
5.

8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management
6.

Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management
7.

Bachelor of Science/Masters in Computer Science or equivalent practical experience
8.

Experience supporting, coaching, mentoring, and developing software engineers
9.

2+ years of experience in managing a team of engineers with varied skill levels
**Preferred Qualifications:**
Preferred Qualifications:
10.

Experience leading teams in ML tooling and dev/prod infrastructure (profilers, debuggers, sanitizers, fuzzers, benchmarking, regression detection, testing, CI, SW/HW co-design)
11.

High engineering standards and demonstrated experience deploying robust, scalable, and reliable infrastructure systems in production
12.

Experience in hardware-software bring-up development environments (simulators, FPGA emulators)
13.

Experience with high-performance computation programming models (e.g., GPU CUDA, OpenCL, OpenMP, NCCL, RCCL)
14.

Knowledge of ML frameworks (PyTorch, TensorFlow, ONNX, MXNet)
15.

Experience with and basic understanding of hardware architectures (Intel SIMD, GPU, RISC-V, AI Accelerators)
16.

Proven experience launching and operating large-scale infrastructure services and projects
17.

Expertise in deployment, release management, and automation, ensuring smooth and reliable rollouts
18.

Experience implementing monitoring, alerting, and incident response for high availability and performance
19.

Experience integrating new and existing services with core infrastructure components (networking, storage, authentication, logging, monitoring)
20.

Communication skills for engaging with a broad developer community and XFN partners
21.

Experience and knowledge in ML model production (deployment, CI/CD, monitoring) and operationalizing ML models at scale
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Meta participates in the E-Verify program in certain locations, as required by law.

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.


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Unlock Your ML Tooling Potential: Insight & Career Growth Guide


Real-time ML Tooling 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 ML Tooling in Menlo Park, United States, highlighting market share and opportunities for professionals in ML Tooling roles.

3242 Jobs in United States
3242
21 Jobs in Menlo Park
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Download Ml Tooling Jobs Trends in Menlo Park and United States

Are You Looking for ML Tooling & Dev, Software Engineering Manager 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 Meta 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 United States laws and regulations

What Is the Average Salary Range for ML Tooling & Dev, Software Engineering Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Menlo Park. 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 ML Tooling & Dev, Software Engineering Manager?

Key qualifications for ML Tooling & Dev, Software Engineering Manager 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 ML Tooling & Dev, Software Engineering Manager Job Success

Meta interview tips for ML Tooling & Dev, Software Engineering Manager

Here are some tips to help you prepare for and ace your ML Tooling & Dev, Software Engineering Manager job interview:

Before the Interview:

Research: Learn about the Meta'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.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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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 ML Tooling & Dev, Software Engineering Manager interview at Meta, 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 Meta'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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