Verified Job
IT / Software / Data Analyst
Software Engineer Leadership Machine Learning
IT / Software / Data Analyst
#426382
Remote / WFH
Job Description
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience leading projects with industry-wide impact
Experience communicating and working across functions to drive solutions
Experience in mentoring/influencing senior engineers across organizations
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
Experience in driving large cross-functional/industry-wide engineering efforts
12+ years of experience in programming languages (Python, C++, or Java) with technical background
8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods
Meta participates in the E-Verify program in certain locations, as required by law
Benefits
$264,000/year to $342,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable
In addition to base compensation, Meta offers benefits
Responsibilities
The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection
The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web
Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features & systems in detail
Understand industry & company-wide trends to help assess & develop new technologies
Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Suggest, collect and synthesize requirements and create an effective feature roadmap
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Job description
Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer (Leadership) - Machine Learning Responsibilities:
• Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
• Effectively communicate complex features & systems in detail.
• Understand industry & company-wide trends to help assess & develop new technologies.
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience leading projects with industry-wide impact.
• Experience communicating and working across functions to drive solutions.
• Experience in mentoring/influencing senior engineers across organizations.
• Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
• Experience in driving large cross-functional/industry-wide engineering efforts.
• 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
• 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
Preferred Qualifications:
• Experience in shipping products to millions of customers or have started a new line of product.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, *** (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender, gender identity, gender expression, transgender status, ****** 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.
$264,000/year to $342,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience leading projects with industry-wide impact
Experience communicating and working across functions to drive solutions
Experience in mentoring/influencing senior engineers across organizations
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision
Experience in driving large cross-functional/industry-wide engineering efforts
12+ years of experience in programming languages (Python, C++, or Java) with technical background
8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods
Meta participates in the E-Verify program in certain locations, as required by law
Benefits
$264,000/year to $342,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location
Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable
In addition to base compensation, Meta offers benefits
Responsibilities
The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection
The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web
Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features & systems in detail
Understand industry & company-wide trends to help assess & develop new technologies
Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Suggest, collect and synthesize requirements and create an effective feature roadmap
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Job description
Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer (Leadership) - Machine Learning Responsibilities:
• Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
• Effectively communicate complex features & systems in detail.
• Understand industry & company-wide trends to help assess & develop new technologies.
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience leading projects with industry-wide impact.
• Experience communicating and working across functions to drive solutions.
• Experience in mentoring/influencing senior engineers across organizations.
• Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
• Experience in driving large cross-functional/industry-wide engineering efforts.
• 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
• 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.
Preferred Qualifications:
• Experience in shipping products to millions of customers or have started a new line of product.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, *** (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender, gender identity, gender expression, transgender status, ****** 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.
$264,000/year to $342,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
