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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
Mistral
5+ ansCandidates need 5 to 10+ years in cloud solutions, technical account management or customer engineering roles, plus hands-on AI/ML workload experience. Mistral also wants working knowledge of cluster orchestration tools such as Slurm and Kubernetes.
Slurm, Kubernetes, PyTorch, JAX, TensorFlow, vLLM
Diligent Corporation
10+ ansCandidates need 10 to 15+ years of cloud engineering experience at Staff level, strong Python skills, AWS infrastructure-as-code experience, and hands-on work with LLMs, RAG and vector search. A Bachelor's, Master's or PhD in a related field is preferred.
AWS, OpenSearch, Elasticsearch, Python, Terraform, AWS CDK
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
8+ ansCandidates need 8+ years of software engineering experience, with significant time in fintech or payments, and proven experience designing or leading Anti-Fraud Systems. Strong backend skills in Java, Kotlin, or Go and experience with high-volume, low-latency distributed systems are required.
Java, Kotlin, Go
Xsolla: Headquartered in Los Angeles, with offices worldwide, Xsolla operates as a merchant and seller of record for major gaming entities like Valve,…
1+ ansCandidates need 1-3 years of full-stack development experience, proficiency in Python and TypeScript, and experience with REST APIs and cloud infrastructure. Experience building LLM-powered or GenAI products is also required.
Next.js, Tailwind CSS, Shadcn, Docker, Kubernetes
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
LoiZéro
3+ ansDiplôme en informatique ou génie logiciel requis; maîtrise ou doctorat préféré; Plus de 3 ans d'expérience en frameworks d'entraînement ML distribué; Expérience avec Megatron, DeepSpeed, FSDP, vLLM ou similaires
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need a PhD or postdoctoral research experience in machine learning, computer science or a related field, or senior industry experience in ML. Strong Python skills and experience with PyTorch or TensorFlow are required, and AWS, Docker and LangChain are a plus.
PyTorch, TensorFlow, Python, AWS, Docker, LangChain
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
10+ ansLovelytics needs candidates with 10+ years in data engineering, architecture or analytics, including solution architect work in manufacturing. They should have deep hands-on Databricks and cloud data expertise, pre-sales and executive presentation experience, and product or asset roadmap ownership.
Databricks, AWS, Azure, GCP
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
3+ ansCandidates need hands-on experience building LLM and retrieval-based AI solutions on Databricks, strong Python and software engineering skills, and a computer science degree or equivalent. Three to five years of experience with one to two years in GenAI projects is preferred.
Databricks, MLflow, Unity Catalog, Vector Search, Python, Git
Lovelytics: Lovelytics is a leading data, AI, and analytics consulting firm headquartered in Arlington, Virginia, with team members across the US, Canada,…
10+ ansCandidates need 10+ years in software, AI, machine learning or data engineering, including leading teams and delivering enterprise projects. Strong Python skills, hands-on LLM application experience, and client-facing communication with technical and executive audiences are required.
Anthropic Claude, Databricks, Python, LangChain, LangGraph, LlamaIndex
1Password
10+ ans5+ gestionCandidates need 10+ years in product management, including 5+ years leading senior product managers or portfolios. Experience with developer or platform products, AI and security concepts, and strong influence and communication skills are required.
Oracle, Communication skills, Collaboration, Documentation, Leadership, Decision making
1Password
2+ ansCandidates need 2+ years of SaaS sales experience, ideally in identity, security or privileged access management with SMB or mid-market accounts, and a record of meeting quotas. Strong solution selling, negotiation, forecasting and the ability to explain cybersecurity and identity concepts to non-technical buyers are required.
Salesforce, Slack, Zoom, LinkedIn Sales Navigator, Outreach
1Password
7+ ans1Password asks for 7+ years in B2B technical sales, a proven record selling to Fortune 100 customers and in multi-product SaaS, and experience with MEDDPICC. Candidates also need strong presentation skills and familiarity with SaaS, security and developer technologies such as SAML/SSO, SCIM, API and AD.
SCIM, SAML, SSO, OAuth, API, SSH
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
1Password
6+ ansCandidates need 6+ years in a customer-facing technical role in a SaaS or security B2B setting, strong technical communication and demo skills, and knowledge of SOC 2, ISO 27001, GDPR, SAML/OIDC and SCIM. Experience with cloud infrastructure, Docker, Kubernetes, scripting and DevOps is expected.
Docker, Kubernetes, 1Password, SaaS Manager, Device Trust, MDM
1Password
8+ ansCandidates need 8+ years of product management experience on security, identity, endpoint or access-control products in B2B SaaS. They also need strong written and verbal communication, experience with OKRs and success metrics, and the ability to explain complex security topics to technical and non-technical audiences.
Enterprise administration consoles
1Password
7+ ansCandidates need 7+ years in marketing analytics and data strategy in B2B SaaS, deep marketing expertise, and experience with senior executives. They must have advanced SQL, experience with cloud data tools like Snowflake, Databricks and dbt, and familiarity with marketing platforms such as Salesforce, Marketo and GA4.
SQL, Snowflake, Databricks, dbt, Salesforce, Marketo
1Password
Candidates need experience designing large-scale distributed systems and driving architecture across multiple teams. They should have built production event-driven or microservices systems and integrated AI or ML into applications. Strong communication and cross-team alignment skills are essential.
Oracle, Systems thinking, Ergonomics, Microservices, CI/CD, Coaching
1Password
8+ ansCandidates need 8+ years in customer-facing technical roles at enterprise B2B SaaS companies, deep knowledge of identity and AI-agent workflows, and experience with MEDDPICC or a similar sales method. Strong executive communication and the ability to influence without direct authority are also required.
OAuth, OIDC, SCIM, APIs, Model Context Protocol, CI/CD
10 entreprises