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Waabi
4+ YOEWaabi needs a graduate degree or bachelor's degree with at least 4 years of industry experience in a technical field. Candidates need control theory skills, hands-on machine learning on real hardware, and production coding in Python and C++.
Python, C++, PyTorch
Faspac: Faspac est une entreprise manufacturière, fondée en 1984, qui offre une gamme complète de services liés à l'emballage flexible pour l’industrie…
DES ou expérience équivalente; Expérience en opération de machines industrielles; Expérience avec une machine slitter
slitter machine
Cresta
5+ YOECandidates need 5 to 8 or more years of building production machine learning systems, with significant LLM experience. Strong skills in NLP, transformers, RAG and agentic workflows are required, plus technical leadership.
PyTorch, TensorFlow, Hugging Face
Spaceium
Spaceium needs hands-on experience with CNC machining or welding, soldering or cable assembly, and reading engineering drawings. Precision measuring skills and strong attention to detail are required. Certifications and a trade or college credential are assets.
CNC mill, CNC lathe, Drill press, Calipers, Micrometers, Gauges
Wave HQ
3+ YOECandidates need 3 to 5 years of machine learning engineering experience with models deployed to production. They need strong AWS, Airflow and MLOps skills and the ability to explain technical ideas to non-technical stakeholders. FinTech or financial risk experience is a significant advantage.
AWS SageMaker, Spark, AWS Glue, Terraform, Airflow, Databricks
SandboxAQ: SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges.
5+ YOECandidates need a BS in Software Engineering, Computer Science or a related field, and 5+ years of postgraduate software experience. They need strong Python skills with PyTorch, TensorFlow, JAX, NumPy or Pandas, and proven experience taking ML models to scalable production.
PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases
SandboxAQ: SandboxAQ is a B2B company delivering AI solutions that address some of the world's greatest challenges.
8+ YOECandidates need a computer science or software engineering background, 8+ years of postgraduate software experience, and a record of building scalable ML systems. Strong Python skills with PyTorch, TensorFlow, JAX, NumPy and Pandas, plus MLOps practice, are essential.
PyTorch, TensorFlow, JAX, NumPy, Pandas, Weights & Biases
Bree
Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and comfort deploying models on cloud platforms. They should also have solid problem-solving skills and enjoy fast-paced work.
Python, Scikit-learn, LightGBM, PyTorch, MLflow, Kubeflow
Bree
Candidates need to be enrolled in a Computer Science, Statistics, Engineering, Data Science or related post-secondary program and available for the full term. Strong Python, some data experience, and foundational statistics and machine learning knowledge are needed.
Python, SQL, pandas, PyTorch, LightGBM
Bree
Candidates need strong Python skills, experience with machine learning libraries and MLOps tools, and hands-on work with cloud-based model deployment. Strong analytical skills and the ability to turn business needs into scalable ML solutions are also expected.
Docker, Kubernetes, MLflow, Kubeflow, SageMaker, Pandas
Boson AI
Candidates need a Bachelor's or Master's in computer science, ML, AI or a related field, or equivalent experience. Boson AI requires experience with large language or multimodal models, search systems, Python-style programming and ML frameworks, plus a public GitHub record.
PyTorch, JAX, GitHub
Affirm: Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.
6+ YOECandidates need 6+ years of experience training and launching machine learning models at scale, including low-latency production systems. Strong Python and experience with gradient-boosted tree models are required.
Python, LightGBM, XGBoost, CatBoost, PyTorch, Spark
Affirm: Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.
2+ YOECandidates need 2+ years as a machine learning engineer or a relevant PhD, strong Python skills and experience with classification models such as gradient-boosted trees. Experience with PyTorch, Spark and ML lifecycle tools like MLflow or Airflow is preferred, along with clear communication skills.
Python, PyTorch, Spark, LightGBM, XGBoost, CatBoost
StackAdapt: StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
Candidates need deep knowledge of algorithms, software design and distributed systems, experience implementing probabilistic or machine learning algorithms, and the ability to take ambiguous problems through to completion. A strong computer science background or equivalent competitive tech experience is expected.
Machine learning, ML, Computer science
ClickHouse
5+ YOECandidates need 5+ years of production software engineering experience and hands-on experience deploying AI/ML models, including inference APIs and vector databases. Applied ML skills in Python (PyTorch, Jupyter) and compute clusters such as Ray or Slurm are required, and ClickHouse experience is a plus.
PyTorch, Jupyter, Ray, Slurm, ClickHouse, AWS
Eli Health
5+ YOECandidates need a bachelor's degree (Master's or PhD preferred) in a related field and at least 5 years of professional experience. They need strong Python, statistics and machine learning skills, and sound judgment about what conclusions the data supports.
Python
PointClickCare: PointClickCare is a leading health tech company with one simple mission: to help providers deliver exceptional care.
Candidates need expert Python and Java skills, experience building ML platforms and MLOps workflows, and cloud experience, primarily Azure. Experience with Docker, Kubernetes and security at scale is also required.
Python, Java, MLflow, Kubeflow, Ray, Azure Machine Learning
Sardine
Candidates need hands-on experience building model serving infrastructure and owning ML systems in production. Strong Python, solid software engineering skills, and experience with Kubernetes, containers and a major cloud are required.
Kubernetes, Docker, Go, Python
Extreme Networks
8+ YOEExtreme Networks needs candidates with a degree in computer science, mathematics or a related field and 8+ years of applied ML experience. They also need 3+ years building generative AI solutions such as RAG, AI agents or LLM fine-tuning in production, plus graph ML experience.
Spark, Flink, Kafka, PySpark, Lakehouse
Replicant
5+ YOEReplicant needs candidates with 5+ years of software development experience in ML infrastructure, ML tooling or ML-powered products. Strong communication skills, independent problem-solving and experience with the Python ML ecosystem are preferred.
Python, PyTorch, FAISS
Cerebras Systems
4+ YOECandidates need a Bachelor's or Master's degree in a related field and 4+ years of ML experience. Strong Python and PyTorch skills, transformer knowledge and the ability to implement ideas from ML papers are required.
PyTorch, Python
18 companies