Research Engineering Manager Job at Meta (Menlo Park)

Research Manager

We are building a world class and uniquely targeted team to drive research throu...

Location

United States

Salary:

193000.00 - 248000.00 USD / Year

Corelight

Expiration Date

Until further notice

Requirements

BS in Computer Science or Engineering, or equivalent experience
2+ years of experience managing technical teams performing duties in the areas of security research, incident response, and/or DevOps concepts (e.g. sprint planning, delivery tracking)
5+ years of hands-on experience in at least one technical field of information security
security research, and detection engineering are preferred
Working knowledge of detection engineering, incident response, and threat hunting
experience with Zeek, Suricata, YARA, one or more SIEMs are strongly preferred
Working knowledge of software engineering practices
experience with Jira, git, and GitLab CICD are strongly preferred
Working knowledge of networking concepts and network protocols such as TCP/IP, HTTP, TLS, DNS, Kerberos, SMB
Working knowledge of programming in at least two languages

Job Responsibility

Manage a team of security researchers and detection engineers responsible for investigating, creating, and maintaining detection capabilities, and developing associated software engineering tools
Collaborate closely with the rest of the Corelight Labs leadership team to devise, pursue & meet project goals and deadlines
Collaborate closely with the Corelight Products and Engineering teams to coordinate cross-team projects

Fulltime

Engineering delivery manager

In a context of ramp-up and structuring of R&D activities, you'll join a high-im...

Location

Belgium , Herstal

Salary:

Not provided

Randstad

Expiration Date

February 23, 2026

Requirements

Engineering degree (in one of the following fields: Mechanical, Systems, Electromechanical, Defense, or equivalent)
Proven experience (5 to 10 years) in leading complex product engineering projects
Excellent command of applied mechanics (embedded systems, platforms)
Understanding of pyrotechnics, kinematics, or precision watchmaking
Solid knowledge in risk management, project structuring, and quality assurance processes
Transversal leadership: ability to engage a multidisciplinary team without direct hierarchical links
Strategic mindset, ability to find alternative paths, arbitrate, and make decisions
Results-oriented, strong focus on operational performance and efficiency seeking
Open-minded, situational intelligence, solution-oriented
Good interpersonal skills, assertive yet collaborative demeanor

Job Responsibility

Mobilize the right resources
Ensure technical, cost, and deadline commitments are met
Unite teams around common objectives
Proactive in defining the delivery strategy
Driving continuous improvement
Alignment with quality standards
Search for innovative solutions, including with external partners
Focus on engineering delivery to ensure projects are delivered on time and within budget
Lead the planning, coordination and delivery of engineering projects involving hardware, software and systems integration components
Build a team with shared goals to create an effective engineering chain leading all engineering activities (Research & Technology / Research & Development)

Engineering Manager

We’re looking for an Engineering Manager to join our team at SGK Marketcraft in ...

Location

United States , Tigard

Salary:

Not provided

SGK

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Engineering or related field
Advanced degree (MBA, Master’s) preferred
8+ years progressive engineering experience
or equivalent combination of education and experience
5+ years in a leadership role (direct or indirect)
Occasional travel either locally, nationally, and/or internationally may be required.
High degree of proficiency MS Office Suite, Outlook & Internet applications
Strong analytical, prioritizing, interpersonal, problem-solving, presentation, budgeting, project management (from conception to completion), & planning skills
Strong verbal and written communication skills (including analysis, interpretation, & reasoning)
Solid understanding and application of mathematical concepts

Job Responsibility

Directs local product engineering resources.
Works in the execution of new products
researches emerging and competitive products
Reduces cost and enhances existing products.
Directs department activities to design new products, modify existing designs, improve production techniques, and develop test procedures.
Provides manufacturing technical & documentation support
resolves problems using solutions that involve new techniques, technologies, or concepts.
Confers with management, production, and marketing staff to determine engineering feasibility, cost effectiveness, and customer demand for new and existing products.
Forecasts operating costs of department and directs preparation of budget requests.
Maintains a working knowledge of new technologies which may improve operations and develops recommendations accordingly.

What we offer

Medical, Dental & Vision: Enjoy peace of mind with our comprehensive benefits package, including an employer HSA (Health Savings Account) contribution.
Discretionary Time Off: Recharge and rejuvenate with earned time off to spend on your terms.
Paid Holidays: Celebrate special moments and create lasting memories with paid holidays.
Floating Holidays: We value your flexibility, and we offer floating holidays to suit your schedule.
Financial Perks: 401(k) program, complemented by a company match.
Education Perks: We believe in your continued growth and offer educational assistance to support your professional development.
Dependent Scholarship Opportunities: We care about your family's future, which is why we provide opportunities for your dependents to pursue their educational dreams.

Fulltime

Engineering Manager - Machine Learning

We’re looking for an experienced Engineering Manager to lead the ML Soundtrack t...

Location

Sweden , Stockholm

Salary:

Not provided

Epidemic Sound

Expiration Date

Until further notice

Requirements

Deep ML engineering background with hands-on experience in generative diffusion models for audio/music (including PyTorch and modern training stacks)
Proven experience deploying ML systems into production at scale, with a focus on latency, stability, and cost
Strong ML system design and architecture skills across the full machine learning lifecycle
Track record of managing engineering teams
Demonstrated ability to set clear goals, manage performance, and grow engineers through mentorship and feedback

Job Responsibility

Own the technical roadmap and model strategy for generative music, including diffusion and transformer-based approaches
Lead the full lifecycle from research to production, championing training, evaluation, and deployment for real-time inference
Drive the productionisation of inference through model optimisation (distillation, quantisation), caching, and cost controls
Build and maintain team health through effective rituals, 1:1s, and fostering a psychologically safe, high-ownership culture
Manage cross-team dependencies and delivery with data, MLOps, and product engineering teams

Fulltime

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team works cross-functionally, providing genera...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

Health and wellbeing resources
Paid volunteer days
Wide range of perks and benefits to support family and personal goals

Fulltime

Engineering Manager, DevEx PostgreSQL

We are looking for an Engineering Manager to build and lead our PostgreSQL Devel...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

2+ years experience in a leadership position
5+ years of experience as a software developer
A bias for action — you move quickly from idea to experiment to delivery
Passion for developer experience—understanding the challenges developers face and turning them into elegant solutions
Comfort with fast, iterative delivery cycles — you default to experimentation over excessive planning and analysis
Understanding of what it takes to build high performing teams and to retain talent
A good understanding of database systems

Job Responsibility

Lead with Impact: Foster a culture of speed and agility — balancing quality with a bias for action and continuous learning
Drive Impactful Delivery: Be accountable for the team’s output and outcomes — ensuring deliveries are not just on time, but make a real difference in developer adoption and usability
Experiment & Iterate: Foster a culture of experimentation, where quick changes and developer feedback loops guide the team’s priorities
Shape the Strategy: Partner with product management to define and deliver the roadmap, bringing engineering insights and developer empathy into the vision
Build Developer-Centric Tools: Oversee the creation of user experience, APIs, integrations to the broader developer ecosystem, and workflows that reduce friction and accelerate app development
Champion Developer Efficiency - Ensure teams operate at peak effectiveness by removing friction, minimizing waste, and optimizing processes for consistent high performance
Grow the Team: Hire, mentor, and develop engineers who thrive in fast-moving, outcome-driven environments
Keep Developer Empathy at the Core: Stay close to developers through feedback loops, research, and hands-on usage of our tools

What we offer

Participate in Aiven’s equity plan
hybrid work policy
Get the equipment you need to set yourself up for success
real employer support (use one of our learning platforms, annual learning budget, and more)
Get holistic wellbeing support through our global Employee Assistance Program
Contribute to open source projects that you find meaningful outside of work - and get paid for it! Our Plankton program recognizes extra work to the open source ecosystem for developers and non-developers alike
Use up to 5 days per year to volunteer for a good cause of your choice
Join one of our team member resource groups - empower yourself and others in missions that resonate with you
extensive Occupational Health Care, Dental Care, as well as sports, culture, massage and lunch benefits
regular office breakfast

Fulltime

Senior Research Engineer

The HPE HPC & AI EMEA Research Lab (ERL) is characterized by a unique blend of i...

Location

Germany , Munich, Berlin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Development experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python
At least a B.Sc. equivalent in a Science, Technology, Engineering or Mathematical discipline
Parallel programming experience, with programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages, etc.
An understanding of AI/ML frameworks, experience with frameworks such as TensorFlow or PyTorch is highly desirable
An interest in system- and data center monitoring and operational data analysis
Professional language skills in English and German

Job Responsibility

Perform world-class research while also shaping products of the future
Work with the most esteemed research partners across Europe
Enable high performance research software on pre-Exascale and Exascale supercomputers
Provide new environments/abstractions to support application developers to build, deploy, and run applications taking advantage of leading-edge hardware at scale
Make and operate HPC/AI systems and datacenters in a sustainable way
Manage modern data-intensive workloads in high performance environments

What we offer

Competitive salary and extensive benefits package (pension scheme, insurances, bike and car leasing, and other fringe benefits)
Work-life balance (flexible working time and hybrid workplace model, 30 vacation days, four HPE Wellness-Fridays, up to six months paid parental leave)
Support for education, training, and career development
Diverse and dynamic work environment

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...

Location

United States , Seattle; Austin; New York; Washington DC

Salary:

190300.00 - 305600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
5+ years of experience managing machine learning engineering teams running core services at scale
Experience building and scaling machine learning models in business applications using large amounts of data
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Focus on business practicality and the 80/20 rule
very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Research Engineering Manager

Meta

Location:
United States , Menlo Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 01, 2026

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