shefsolutionsllc is hiring: Machine Learning Engineer in New York
shefsolutionsllc, New York, NY, United States
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them.
What You’ll Do
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands‑on ML development
Collaborate with a cross‑functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
Prototype new approaches and production‑ize solutions at scale for our hundreds of millions of active users
Help drive optimization, testing, and tooling to improve quality
Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
You have hands‑on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
You care about agile software processes, data‑driven development, reliability, and disciplined experimentation
Where You’ll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
#J-18808-Ljbffr
In Summary: The Safe-and-Sound team makes Spotify safe and enjoyable for every listener . From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features . Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them .
En Español: El equipo Safe-and-Sound hace que Spotify sea seguro y agradable para todos los oyentes. Desde recomendaciones de podcast hasta listas de reproducción AI, somos parte de algunas de las características más queridas de Spotify. Construimos soluciones de inteligencia artificial responsable al entender nuestra música, podcasts y usuarios mejor que nadie. Únete a nosotros y mantendrá a millones de usuarios seguros escuchando haciendo recomendaciones seguras para cada uno de ellos. Lo que harás Contribuir a diseñar, construir, evaluar, enviar y refinar productos de Spotify mediante el desarrollo manual del ML. Colaborar con un equipo ágil interfuncional que abarca la investigación de usuarios, diseño, ciencia de datos, gestión de productos e ingeniería para desarrollar nuevas funciones que avancen en nuestra misión de conectar artistas de producto y cientos de maneras activas y relevantes Prototipar nuevos enfoques y soluciones a escala para nuestro grupo de expertos en sistemas de aprendizaje automático, especialmente ScalaTe recomiendo tener una experiencia avanzada implementando algoritmos personalizados o sistemas de capacitación automática en manos de otros sistemas de software como Java, BecallSystems y otras tecnologías (en inglés). Experiencia con XGBoost, TensorFlow también es una ventaja. Te interesan los procesos de software ágiles, el desarrollo basado en datos, la fiabilidad y la experimentación disciplinada. ¿Dónde estarás? Somos una fuerza laboral distribuida que permite a nuestros miembros del grupo encontrar un modo de trabajo que sea mejor para ellos!
What You’ll Do
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands‑on ML development
Collaborate with a cross‑functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
Prototype new approaches and production‑ize solutions at scale for our hundreds of millions of active users
Help drive optimization, testing, and tooling to improve quality
Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another
Who You Are
You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
You have hands‑on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus.
You care about agile software processes, data‑driven development, reliability, and disciplined experimentation
Where You’ll Be
We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration
Extensive learning opportunities, through our dedicated team, GreenHouse.
Flexible share incentives letting you choose how you share in our success.
Global parental leave, six months off – fully paid – for all new parents.
All The Feels, our employee assistance program and self-care hub.
Flexible public holidays, swap days off according to your values and beliefs.
Learn about life at Spotify
The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
#J-18808-Ljbffr
In Summary: The Safe-and-Sound team makes Spotify safe and enjoyable for every listener . From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features . Join us and you’ll keep millions of users listening by making recommendations safe for each and every one of them .
En Español: El equipo Safe-and-Sound hace que Spotify sea seguro y agradable para todos los oyentes. Desde recomendaciones de podcast hasta listas de reproducción AI, somos parte de algunas de las características más queridas de Spotify. Construimos soluciones de inteligencia artificial responsable al entender nuestra música, podcasts y usuarios mejor que nadie. Únete a nosotros y mantendrá a millones de usuarios seguros escuchando haciendo recomendaciones seguras para cada uno de ellos. Lo que harás Contribuir a diseñar, construir, evaluar, enviar y refinar productos de Spotify mediante el desarrollo manual del ML. Colaborar con un equipo ágil interfuncional que abarca la investigación de usuarios, diseño, ciencia de datos, gestión de productos e ingeniería para desarrollar nuevas funciones que avancen en nuestra misión de conectar artistas de producto y cientos de maneras activas y relevantes Prototipar nuevos enfoques y soluciones a escala para nuestro grupo de expertos en sistemas de aprendizaje automático, especialmente ScalaTe recomiendo tener una experiencia avanzada implementando algoritmos personalizados o sistemas de capacitación automática en manos de otros sistemas de software como Java, BecallSystems y otras tecnologías (en inglés). Experiencia con XGBoost, TensorFlow también es una ventaja. Te interesan los procesos de software ágiles, el desarrollo basado en datos, la fiabilidad y la experimentación disciplinada. ¿Dónde estarás? Somos una fuerza laboral distribuida que permite a nuestros miembros del grupo encontrar un modo de trabajo que sea mejor para ellos!