Remote Jobs at Depop

- Experience with Scala - Willing to work in Python and Scala codebases - Proficient in testing solutions at different levels — unit and integration - Experience with relational or non-relational databases, preferably PostgreSQL, DynamoDB, AWS Athena - Experience with Docker and Kubernetes - Capable to write high quality code in Scala or be interested in learning a functional language - Experience working with RDBMS, ideally Postgres - Distributed datastores (e.g. DynamoDB) - Message queues (e.g…

- Commercial experience using Swift or Objective-C, with real exposure to different platforms and OS versions - Experience working within a Mobile Continuous Integration framework - Experience with Unit (XCTest) and Integration Testing - Experience in consuming a RESTful API - Prior experience mentoring junior developers - Desirable - Experience with the VIPER architecture - Experience with A/B testing and solving complex experiments

- Capable to write high quality code in Scala or Java or Python - Experience with distributed datastores (e.g. DynamoDB, Redshift, AWS Athena) - Experience with message queues (e.g. RabbitMQ / Apache Kafka) - Experience building scalable web applications serving 10,000s of requests per second - Experience working with RDBMS, ideally Postgres - DevOps culture (CI/CD pipeline) - Ability to proactively find and solve complex problems independently, but also know when to seek guidance or help from y…

Candidates should have experience working as a Machine Learning Scientist with a track record of delivering models to solve industry-scale problems, a solid understanding of machine learning concepts, familiarity working with common frameworks such as Transformers, PyTorch or TensorFlow, proficiency in Python with the ability to write production-grade code and a good understanding of data engineering & MLOps, and collaborative and humble team player skills.

- Significant experience (3+ years) working as a Data Scientist, with a track record of delivering models to solve industry-scale problems - Experience with experiment design and conducting A/B tests - Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps - Solid understanding of machine learning concepts, familiarity working with common frameworks such as sci-kit-learn, TensorFlow, or PyTorch - Collaborative and humble great …

- Hands-on technical expertise in software engineering, including developing microservices, libraries, and data pipelines - Experience with modern tooling such as Terraform, Docker, and cloud-native patterns - Proficiency with data stack tools including Databricks, Airflow, dbt - Knowledge of data lake management (ingestion, storage, governance, privacy) - Strategic thinking to architect, build, and scale data platforms - Ability to work with Insights, Analytics Engineers, Data Scientists, MLOps…

- Hands-on technical expertise in software engineering, including developing microservices, libraries, and data pipelines - Experience with technical design, implementation, and evolution of platform services using modern tooling such as Terraform, Docker, and cloud-native patterns - Proficiency with data stack tools including Databricks, Airflow, dbt, and managing Datalake (ingestion, storage, governance, privacy) - Ability to work closely with Insights, Analytics Engineers, Data Scientists, ML…

Candidates should have a proven track record of building and deploying ML pipelines and contributing to ML platform tooling, with a solid understanding of ML workflows and experience supporting scientists through to production. They must possess strong ownership, the ability to work independently, and excellent communication skills across technical and non-technical stakeholders. Experience designing systems in modern cloud environments such as AWS or GCP is required, along with proficiency in P…

- Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale, ideally in a consumer or marketplace environment - Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT - Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time s…

- Significant experience (7+ years) working in Machine Learning, delivering models to solve industry-scale problems, and 2+ years leading teams of ML Scientists and/or ML Engineers - Deep expertise in search and recommendation techniques: semantic embeddings, learning-to-rank, personalisation algorithms, etc - Proven track record of delivering ML models end-to-end: data strategy, training, deployment and monitoring, using Python, Spark and major deep-learning frameworks (e.g. PyTorch or TensorFl…

- Consistent track record of successful end-to-end delivery of projects; from partnering with business teams, scoping requirements, to implementation and maintenance - Experience aligning analytics engineering initiatives to a broader vision and to business objectives - Good stakeholder management and communications, including documentation, planning and delivery management - Strong programming skills in SQL and Python, with experience in services like Airflow, dbt and Looker - Proficient with d…

- Proven track record in designing, deploying, and optimizing large-scale recommendation systems, including candidate retrieval and ranking models, with measurable impact in production environments - Deep understanding of machine learning fundamentals and applied experience with architectures including collaborative filtering, deep learning, and hybrid recommendation approaches - Proven ability to productionize ML models and pipelines: from prototyping to deployment, with strong experience in mo…

- A proven track record as an Engineering Manager of growing and building high-performing engineers, teams, and processes - Have previously worked in the CX Product space, or work (incomplete in JD)

- Strong iOS expertise (implied from qualifications start and role focus)

- Experience partnering with Executive Team members and leadership teams to design and deliver people solutions - Ability to translate business strategy and functional plans into people strategies - Expertise in workforce planning, development, and retention strategies - Knowledge of evergreen people processes (e.g., performance management, compensation review, talent planning) - Experience collaborating with parent company People teams (e.g., Etsy) - Capability to lead strategic initiatives and…