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Levio
6+ ansBaccalauréat ou maîtrise en informatique, génie ou science des données; Plus de 6 années d’expérience en ingénierie, dont 3 en IA/ML; Excellente maîtrise de Python et des frameworks ML (PyTorch, TensorFlow, scikit-learn)
Python, PyTorch, TensorFlow, scikit-learn, CI/CD pipelines
3+ ansCandidates need 3-5+ years of experience running ML systems in production, strong Python, Java or Go skills, and solid knowledge of classic and deep learning methods. Hands-on experience with PyTorch or TensorFlow and designing scalable pipelines is required.
PyTorch, TensorFlow, Spark, Kafka, Ray, Airflow
Trulioo
8+ ansCandidates need 8+ years of production back-end engineering experience, deep Kotlin and JVM concurrency skills, and experience with microservices, Kafka and cloud-native systems. Daily use of AI coding assistants is expected.
Apache Kafka, Kubernetes, gRPC, Protobuf, OpenAPI, Temporal
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
Candidates need an advanced degree in statistics, machine learning or a related field, and hands-on experience training and deploying production models. Production experience with classical ML for fraud, recommendation or churn, plus MLOps and model serving knowledge, is also required.
MLflow, vLLM, Claude, Copilot, Cursor
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
5+ ans3+ gestionCandidates need 5+ years in software, data engineering or data science, including 3+ years managing technical teams. They need strong ML and statistics knowledge, hands-on work with platforms like Snowflake and Airflow, and experience shipping ML systems to production.
Snowflake, BigQuery, Spark, Airflow, dbt, MLflow
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
5+ ansCandidates need 5+ years as a data scientist, with 3+ years in Spark, plus strong SQL and Python skills and experience building ETL/ELT at scale. Experience with orchestration tools, data modeling, and Kafka, GCP or AWS is also required.
Snowflake, Spark, Kafka, BigQuery, MySQL, Redis
Later
6+ ansCandidates need 6+ years in data, backend or platform engineering, strong Python and SQL skills, and dbt experience. Hands-on cloud experience with GCP and BigQuery, infrastructure as code, CI/CD and orchestration is needed, along with architectural judgment.
BigQuery, dbt, Fivetran, Kubernetes, AWS, GCP
Later
7+ ansCandidates need 7+ years of DevOps, cloud or software engineering experience with technical leadership. Deep Kubernetes (EKS) and Helm experience, hands-on AWS and Terraform skills, and experience deploying ML models in production are required.
Kubernetes, EKS, Helm, Terraform, AWS, GCP
LoiZéro
10+ ans5+ gestionMaîtrise ou doctorat en apprentissage automatique ou informatique; Plus de 10 ans d'expérience en apprentissage automatique; Au moins 5 ans de leadership d'équipes techniques
Research, Communication skills, Machine learning, Computer science, Leadership, ML
Forum Ventures: Subscribe to The Midnight Text -- a bi-weekly newsletter that provides honest answers to the unspoken questions that keep founders awake at…
Candidates need early-stage operator experience building, selling, and navigating edge ML and on-device inference. They should have shipped models to multiple NPU or edge chip targets, or built inference or fleet infrastructure, and be based in Canada or the US.
NPU toolchains, Qualcomm, Apple, Intel, MediaTek, NVIDIA
Forum Ventures: Subscribe to The Midnight Text -- a bi-weekly newsletter that provides honest answers to the unspoken questions that keep founders awake at…
Candidates need early-stage operator experience building and selling AI infrastructure or compute platforms, ideally with ML inference across cloud and owned hardware. They must be able to attract and lead strong teams and be based in Canada or the US.
Business model, ML, Fundraising
Solstice
Candidates need experience shipping and operating ML or LLM systems in production, a record of inventing evaluation metrics, and depth in LLMs such as retrieval and agentic pipelines. Full-stack skills in Python, FastAPI, Docker and AWS are required, along with strong communication and confident judgment under ambiguity.
Python, FastAPI, Docker, AWS
1Password
7+ ansCandidates need 7+ years of IT and endpoint management experience, including 2+ years at a senior or staff level, with hands-on skills in scripting and infrastructure-as-code. They also need solid knowledge of endpoint security such as encryption, patching, EDR, and compliance frameworks like SOC 2 or ISO 27001.
Terraform, Bash, Python, macOS, Windows, EDR
impact.com: The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the…
5+ ansimpact.com requires 5+ years in data science or ML engineering, with 2+ years deploying models in programmatic advertising or a related marketplace domain. Candidates need strong Python, SQL, production ML and experimentation skills, plus a quantitative bachelor's degree.
Python, SQL, Spark, Kafka, PyTorch, TensorFlow
Cloudbeds
Candidates need senior experience as a data engineer, data architect or tech lead in cloud data environments. Deep Snowflake and dbt skills, advanced SQL and Python, and CI/CD discipline are required, along with clear English communication.
Snowflake, dbt, Matillion, Sigma, Git, Jira
Apera AI Inc
Candidates need proficiency in Python and PyTorch, plus understanding of computer vision fundamentals such as detection, segmentation and 3D geometry. Familiarity with model training, tuning and evaluation workflows, and interest in robotics or production-grade ML software, are also expected.
PyTorch, Blender, Docker, Linux, AWS S3, AWS EC2
MaintainX (An Autodesk Company): MaintainX is a technology company pioneering a next-generation approach to maintenance and asset management.
Candidates need hands-on experience building and operating production search systems with Elasticsearch, OpenSearch, Lucene, Solr or similar, including relevance tuning and cluster operations. They also need knowledge of embeddings, chunking and retrieval strategies, and expert-level spoken and written English.
Elasticsearch, OpenSearch, Lucene, Solr
Credit Genie
Candidates need strong hands-on AWS and Kubernetes experience, production monitoring and CI/CD skills, and infrastructure-as-code expertise. Experience at an early-stage or fast-growing company and a real willingness to own compliance work are also required.
AWS, Kubernetes, EKS, Terraform, OpenTofu, AWS CDK
GoMaterials
Candidates need a degree or equivalent practical experience, strong Python and SQL skills, and experience operating production services and data pipelines in Azure or another major cloud. Experience with infrastructure-as-code, CI/CD and taking over live codebases is also required.
Azure, Terraform, Bicep, Git, Kubernetes, Airflow
Life360
6+ ansCandidates need an advanced degree or equivalent industry experience and 6+ years shipping ML-powered systems to production. Strong Python, PySpark, scikit-learn and causal inference skills, plus hands-on experiment design and consumer tech experience, are required.
Python, PySpark, scikit-learn, Databricks, Claude Code
19 entreprises