Snap Inc. is hiring: Staff Machine Learning Engineer, 8+ Years of Experience in
Snap Inc., Los Angeles, CA, United States
Staff Machine Learning Engineer, 8+ Years of Experience
Location: Los Angeles, California; Seattle; New York; Palo Alto
Time Type: Full time
Posted On: 4 Days Ago
Job Requisition ID: Q324SWEML8
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles .
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We’re looking for a Staff Machine Learning Engineer to join Snap Inc!
What you’ll do:
Create models which help drive value for users, advertisers, and our company.
Evaluate the technical tradeoffs of every decision.
Perform code reviews and ensure exceptional code quality.
Build robust, lasting, and scalable products.
Iterate quickly without compromising quality.
Knowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithms.
Able to prioritize duties and work well on your own.
Ability to work with both internal and external partners.
Skilled at solving open ambiguous problems.
Strong collaboration and mentorship skills.
Minimum Qualifications:
Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience.
8+ years machine learning experience in industry.
Preferred Qualifications:
Advanced degree in computer science or related field.
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
Experience working with machine learning, ranking infrastructures, and system design.
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information .
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC): The base salary range for this position is $222,000-$333,000 annually.
Zone B: The base salary range for this position is $211,000-$316,000 annually.
Zone C: The base salary range for this position is $189,000-$283,000 annually. This position is eligible for equity in the form of RSUs.
#J-18808-Ljbffr
In Summary: Staff Machine Learning Engineer, 8+ Years of Experience Location: Los Angeles, Seattle; New York; Palo Alto Time Type: Full time . We’re looking for a staff Machine Learning engineer to join Snap Inc! What you’ll do: Create models which help drive value for users, advertisers, and our company . Minimum Qualifications: Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience in industry .
En Español: Ingeniero de aprendizaje automático del personal, 8+ años de experiencia ubicación: Los Ángeles, California; Seattle; Nueva York; Palo Alto Tiempo Tipo: tiempo completo Publicado en: 4 días atrás Recursos laborales ID: Q324SWEML8 Snap Inc es una compañía tecnológica. Creemos que la cámara presenta la mayor oportunidad para mejorar la forma en que las personas viven y se comunican. Snap contribuye al progreso humano capacitando a las personas a expresarse, vivir en el momento, aprender sobre el mundo y divertirse juntos. Creamos modelos que ayuden a impulsar el valor para los usuarios, anunciantes y nuestra empresa. Evaluar las compensaciones técnicas de cada decisión. Realizar revisiones de código y garantizar una calidad excepcional del código. Construir productos robustos, duraderos y escalables. Iterar rápidamente sin comprometer la calidad. Conocimiento, Habilidades y Capacidades: Una fuerte comprensión de los enfoques y algoritmos de aprendizaje automático. Creemos que estar juntos en persona nos ayuda a construir nuestra cultura más rápido, reforzar nuestros valores y servir mejor a nuestra comunidad, clientes y socios a través de una colaboración dinámica. Para reflejar esto, practicamos un enfoque default together y esperamos que los miembros de nuestro equipo trabajen en una oficina 4+ días por semana. En Snap creemos que tener un equipo de diversos orígenes y voces trabajando juntos nos permitirá crear productos innovadores que mejoran la forma en que las personas viven y se comunican. Snap está orgulloso de ser un empleador de igualdad de oportunidades, y comprometido con proporcionar oportunidades de empleo independientemente de raza, credo religioso, color, origen nacional, ascendencia, discapacidad física, incapacidad mental, condición médica, información genética, estado matrimonial, sexo, identidad de género, expresión de géneros, embarazo, nacimiento y lactancia, edad, orientación sexual, comunidad militar o cualquier otro tipo de beneficios protegidos, de acuerdo con las leyes federales aplicables, e incluso su estatus EOE, así que tengas todo lo posible para proteger a tus seres queridos, incluyendo sus propias condiciones de salud, etc. Nuestros beneficios se basan en sus necesidades e incluyen licencia parental remunerada, cobertura médica integral, programas de apoyo a la salud emocional y mental y paquetes de compensación que le permiten compartir el éxito a largo plazo de Snap! Compensación En los Estados Unidos, las ubicaciones de trabajo reciben una zona de pago que determina el rango salarial para el puesto. El salario inicial del candidato exitoso se determinará según habilidades relacionadas con el empleo, experiencia, calificaciones, lugar de trabajo y condiciones del mercado.
Location: Los Angeles, California; Seattle; New York; Palo Alto
Time Type: Full time
Posted On: 4 Days Ago
Job Requisition ID: Q324SWEML8
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles .
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We’re looking for a Staff Machine Learning Engineer to join Snap Inc!
What you’ll do:
Create models which help drive value for users, advertisers, and our company.
Evaluate the technical tradeoffs of every decision.
Perform code reviews and ensure exceptional code quality.
Build robust, lasting, and scalable products.
Iterate quickly without compromising quality.
Knowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithms.
Able to prioritize duties and work well on your own.
Ability to work with both internal and external partners.
Skilled at solving open ambiguous problems.
Strong collaboration and mentorship skills.
Minimum Qualifications:
Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience.
8+ years machine learning experience in industry.
Preferred Qualifications:
Advanced degree in computer science or related field.
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks.
Experience working with machine learning, ranking infrastructures, and system design.
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information .
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
Zone A (CA, WA, NYC): The base salary range for this position is $222,000-$333,000 annually.
Zone B: The base salary range for this position is $211,000-$316,000 annually.
Zone C: The base salary range for this position is $189,000-$283,000 annually. This position is eligible for equity in the form of RSUs.
#J-18808-Ljbffr
In Summary: Staff Machine Learning Engineer, 8+ Years of Experience Location: Los Angeles, Seattle; New York; Palo Alto Time Type: Full time . We’re looking for a staff Machine Learning engineer to join Snap Inc! What you’ll do: Create models which help drive value for users, advertisers, and our company . Minimum Qualifications: Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience in industry .
En Español: Ingeniero de aprendizaje automático del personal, 8+ años de experiencia ubicación: Los Ángeles, California; Seattle; Nueva York; Palo Alto Tiempo Tipo: tiempo completo Publicado en: 4 días atrás Recursos laborales ID: Q324SWEML8 Snap Inc es una compañía tecnológica. Creemos que la cámara presenta la mayor oportunidad para mejorar la forma en que las personas viven y se comunican. Snap contribuye al progreso humano capacitando a las personas a expresarse, vivir en el momento, aprender sobre el mundo y divertirse juntos. Creamos modelos que ayuden a impulsar el valor para los usuarios, anunciantes y nuestra empresa. Evaluar las compensaciones técnicas de cada decisión. Realizar revisiones de código y garantizar una calidad excepcional del código. Construir productos robustos, duraderos y escalables. Iterar rápidamente sin comprometer la calidad. Conocimiento, Habilidades y Capacidades: Una fuerte comprensión de los enfoques y algoritmos de aprendizaje automático. Creemos que estar juntos en persona nos ayuda a construir nuestra cultura más rápido, reforzar nuestros valores y servir mejor a nuestra comunidad, clientes y socios a través de una colaboración dinámica. Para reflejar esto, practicamos un enfoque default together y esperamos que los miembros de nuestro equipo trabajen en una oficina 4+ días por semana. En Snap creemos que tener un equipo de diversos orígenes y voces trabajando juntos nos permitirá crear productos innovadores que mejoran la forma en que las personas viven y se comunican. Snap está orgulloso de ser un empleador de igualdad de oportunidades, y comprometido con proporcionar oportunidades de empleo independientemente de raza, credo religioso, color, origen nacional, ascendencia, discapacidad física, incapacidad mental, condición médica, información genética, estado matrimonial, sexo, identidad de género, expresión de géneros, embarazo, nacimiento y lactancia, edad, orientación sexual, comunidad militar o cualquier otro tipo de beneficios protegidos, de acuerdo con las leyes federales aplicables, e incluso su estatus EOE, así que tengas todo lo posible para proteger a tus seres queridos, incluyendo sus propias condiciones de salud, etc. Nuestros beneficios se basan en sus necesidades e incluyen licencia parental remunerada, cobertura médica integral, programas de apoyo a la salud emocional y mental y paquetes de compensación que le permiten compartir el éxito a largo plazo de Snap! Compensación En los Estados Unidos, las ubicaciones de trabajo reciben una zona de pago que determina el rango salarial para el puesto. El salario inicial del candidato exitoso se determinará según habilidades relacionadas con el empleo, experiencia, calificaciones, lugar de trabajo y condiciones del mercado.