No matching filters. Try another name.
Klue
Candidates need several years of backend production experience, hands-on search or retrieval work, and experience with LLM-powered or agentic systems. Strong Python skills, cloud infrastructure experience and a customer-focused mindset are expected.
Python, PyTorch, Elasticsearch, Pinecone, PostgreSQL, Docker
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
Mecka
5+ YOECandidates need 5+ years in machine learning or computer vision, including deploying models on embedded or limited hardware. Strong Python and C++ skills, PyTorch experience and embedded Linux experience are required.
PyTorch, C++, Python, Embedded Linux
Mecka
Candidates need a research record in physics-based character animation, human motion generation, or 3D human pose and shape, ideally with publications at top venues. Experience training diffusion, autoregressive or masked motion models and running reinforcement learning for simulated humanoids is required.
PyTorch, Isaac Lab, MuJoCo, Isaac Gym, SMPL-X, MHR
Mecka
Candidates need strong neural 3D or reconstruction research experience, deep learning depth in Python and PyTorch, and a solid foundation in multi-view geometry and differentiable rendering. Research taste for tackling open problems is essential.
PyTorch, Open3D, trimesh
Mecka
Candidates need deep expertise in 3D computer vision, neural rendering and multi-view geometry, plus experience training large 3D vision models in PyTorch on large datasets. Writing custom CUDA kernels and first-author publications at CVPR, ICCV or ECCV are strong signals.
PyTorch, CUDA, WebGL
Mecka
Candidates need deep expertise in deep learning and 3D computer vision, especially human pose estimation. Experience training large vision models from scratch and working with parametric body models and large motion datasets is required.
PyTorch
Mecka
Candidates need heavy frontend experience with React, Vue or TypeScript, production Python API skills with FastAPI or gRPC, and hands-on applied ML deploying detection or segmentation models. Annotation UI and video processing experience are strong signals.
PyTorch, TensorRT, ONNX, FFmpeg, FastAPI, React
Mecka
5+ YOECandidates need 5+ years of hands-on SLAM, visual-inertial odometry, or Structure-from-Motion work, including production systems. They also need camera and IMU calibration experience, along with strong C++ or Python skills.
Kalibr, GTSAM, Ceres Solver, OpenCV, COLMAP, PyTorch
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 hands-on experience with cloud AI services and LLM APIs, strong Python skills, and knowledge of NLP, vector databases and RAG systems. A bachelor's degree in computer science or IT, or equivalent practical experience, is required.
Python, LangChain, LlamaIndex, OpenAI, Google Vertex AI, AWS Bedrock
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
adaption
4+ YOECandidates need a PhD or equivalent research experience in computer science, 4-5+ years in industry and a publishing record at ICML, NeurIPS, ACL, ICLR or EMNLP. They need deep expertise in model efficiency, real-time alignment or algorithmic optimization, and strong Python skills with PyTorch, JAX or TensorFlow.
PyTorch, JAX, TensorFlow, Python
adaption
4+ YOECandidates need a PhD or equivalent research experience in computer science and 4-5+ years of industry experience. They should have deep expertise in model efficiency, real-time alignment or algorithmic optimization, and strong Python skills.
PyTorch, JAX, TensorFlow, Python
adaption
Candidates need a degree or equivalent research or engineering experience in computer science, strong Python skills, and experience with deep learning frameworks such as PyTorch, JAX or TensorFlow. Familiarity with RLHF and fine-tuning and a project in model efficiency, synthetic data or real-time alignment are valued.
PyTorch, JAX, TensorFlow, Python
FutureFit AI
Candidates need staff-level, hands-on MLOps or ML platform experience, including CI/CD for models and monitoring. Production experience with LLM systems, batch and real-time serving, and running A/B tests or canary deploys is required, along with production on-call experience.
AWS SageMaker, PyTorch, Airflow, dbt, Braintrust, GitHub Actions
PointClickCare: PointClickCare is a leading health tech company with one simple mission: to help providers deliver exceptional care.
1+ YOECandidates need a PhD or Master's in a relevant field with industry experience in healthcare AI and commercial SaaS products. Hands-on skills with healthcare data, Python, SQL, LLMs, transformer models, and cloud ML deployment are required.
Python, SQL, PyTorch, Scikit-learn, Hugging Face Transformers, LangChain
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
3+ YOECandidates need a PhD in machine learning or computer science with 3+ years of experience, or a master's with 4+ years. They need strong research impact, deep knowledge of modern ML architectures, and strong Python skills with PyTorch.
PyTorch, vLLM, SGLang, Triton, CUDA, Cerebras tools
13 companies