13 KiB
13 KiB
Oferty pracy na stanowisko Machine Learning Developer w Australii i USA
Institute of Data
Location: Melbourne
Required:
- You have previous data science or engineering teaching experience, through a course, workshop, team training, meetups etc.
- You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists.
- You have at least 3 years of professional data science experience.
- You are an expert in SQL, Python, and related Python libraries (pandas, numpy).
- You have domain expertise in statistics, mathematics, and probability.
- You can build and apply statistical models in python using machine learning libraries, such as scikit-learn and statsmodels.
- You have a deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets.
- You can demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks.
- You are the person your colleagues naturally gravitate to when they are trying to figure something out.
Additionally:
- You have proficiency with python libraries such as NLTK; Hadoop or Apache Spark; D3.js or R.
- You are on top of industry trends in big data, machine learning, deep learning, and AI.
- Management and/or director experience in a small business or team
- Relevant data professional certification.
Kinexus
Location: South Australia
Required:
- Qualifications in Software Engineering.
- Proven experience with Machine Learning.
- Minimum of 3 years of experience in a similar role.
- Experience with Python 3.6;
- PyTorch/TensorFlow
- NumPy, Pandas, matplotlib
- Open CV, Pillow.
- Experience with the software development lifecycle.
- Experience working with Linux & Bash.
- Experience with Docker.
- Source code revision control system knowledge (GIT).
- Experience working with SQL.
Talenza
Location: Sydney
Required:
- A bachelor's degree in Computer Science or related field.
- 3-5 years' experience working with cloud-base services and DevOps concepts, tools and practices
- Experience with: Unix/AIX/Linux environments, Kubernetes, Docker, Azure Kubernetes service
- Scripting and coding using Python, Shell
Clobotics
Location: Bellevue, WA
Required:
- Rich Experience working with TensorFlow and/or Pytorch
- Deep knowledge of deep learning techniques in object detection, image classification, or video tracking
- Strong written and verbal communications skills
- MS with 5+ years of related experience or Ph.D. is preferred.
Additionally;
- Knowledge of parallel computing, OpenCL, CUDA, GPGPU
Correlate Resources
Location: Sydney
Required:
Bachelor or above degree in Computer Science
8+ years of commercial software development experience
Good communication and stakeholder management skills
Strong Python, SQL and Linux
Kubernetes experience
Solid experience with streaming technologies like Kafka, Pubsub or Kinesis
Practical knowledge of various classes of ML algorithms, techniques and packages
Experience of designing and implementing complex cloud solutions
Additionally:
Experience of building production grade ML feature stores, model stores or ML pipelines in GCP or AWS
GCP Cloud Engineer or above level of certification
Solid ML Ops, SRE or DevOps experience
Talent Insights Group Pty Ltd
Location: Sydney
Required:
- A minimum of 3 years of professional experience in Machine Learning Engineering with a modern stack
- A Computer Science degree at a Bachelor's level or beyond
- Strong data pipeline and machine learning pipeline experience with big data
- Good communication skills and confidence in sharing and presenting ideas with senior engineers and data scientists
- Python, SQL, Spark, Google Cloud Platform, Kubernetes / Argo / Kubeflow, Kafka/PubSub
Discord
Location: San Francisco, CA
Required:
- Python
- Scala
- Rust
- 4 years of experience
- Ph.D.
- Pytorch/Tensorflow
Change Healthcare
Location: Seattle, WA
Required:
- MS degree in computer science or equivalent background
- 5+ years professional experience building and operating scalable distributed systems across the full software lifecycle including design, implementation, testing, operations, and maintenance.
- Programming experience in one or more modern programming languages such as Java, Python, Scala or C++.
- Experience working with modern tools for big data processing and scalable machine learning (e.g., AWS, GCP, Kafka, Apache Spark, Hadoop, SQL).
- Experience in foundational machine learning models and concepts: regression, random forest, boosting, HMM, CRFs, MRFs, deep learning is a plus
- Experience with common machine learning libraries and tools: scikit-learn, Tensorflow, XGBoost is a plus
- Prior experience in Healthcare AI is Big plus
Amazon
Location: Seattle, WA
Required:
- 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
- 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- 4+ years of professional software development experience
- Proficiency with Deep Learning algorithms and packages
- Proficiency with AWS tools
- Proficiency with Java, SQL and Spark
- Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience building complex software systems that have been successfully delivered to customers.
- Success delivering products/services in a high-growth environment, exhibiting strong ability to identify and solve ambiguous customer-focused problems.
- Experience in any one or more of the following areas: distributed systems, artificial intelligence, full-stack development.
- Knowledge of professional software engineering best practices, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Strong track record of helping build productive and successful software development teams, actively developing talent.
- Ability to take raw product requirements and create software architecture, design, and code to bring them to life.
- High attention to detail with proven ability to juggle multiple, competing priorities simultaneously and make things happen in a fast-paced, dynamic environment.
- Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Product Management, and Senior Leadership.
Apple
Location: Seattle, WA
Required:
- 5+ years of professional work experience developing systems for automatic speech recognition (ASR), speech synthesis, and natural language understanding
- Excellent programming skills in Python
- Extensive experience with machine learning frameworks like Tensorflow, PyTorch
- Good experience with large-scale data processing and distributed systems
- Excellent problem solving, critical thinking, and communication skills.
- Excellent data analytical skills. Strong attention to detail. Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis
- B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering in the area of Speech/Language Processing or Machine Learning
Credit Karma
Location: Oakland, CA
Required:
- Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field & 5 years of experience involving: application of cloud technologies, infrastructure, and application of distributed systems
- Deep knowledge of personalization and recommendations systems
- Building and operating machine learning platform
Additionally:
- Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field
- Modern data technologies include technologies such as in-memory, distributed and serverless processing (e.g. spark/dataflow/cloud-functions), key/value vs. document vs. column oriented datastores (e.g. bigquery, bigtable, cloud-search), message queues (kafka/pub-sub), elastic scaling (kubernetes, instance-groups), etc
- Modern machine learning and optimization technologies include familiarity with toolkits like sklearn, scipy, tensorflow and pytorch
Snowflake
Location: Bellevue, WA
Required:
- 7+ years industry experience designing, building, and supporting Internet serving infrastructure, machine learning platforms, machine learning services and frameworks.
- Extremely strong fundamental computer science skills, particularly computer systems (e.g., distributed systems, database systems).
- Deep fluency in Python and C++. Java experience is a plus.
- Ability to work in a team environment, collaborate well, and mentor junior engineers.
- Experience planning complex projects with cross-functional dependencies.
- Ability to work on-site in our downtown Bellevue office.
- Advanced degree in Computer Science.
Additionally:
- Experience in building machine learning training platforms
- Experience in building machine learning data and feature platforms
- Experience in building machine learning prediction platforms
- Experience building lineage and metadata systems
- Data warehouse design, database systems, and large-scale data processing solutions.
- Experience in adapting machine learning techniques to highly parallel and distributed environments.
- Experience with common ML frameworks such as Spark, MLlib, Tensorflow, Pytorch, XGBoost, or scikit-learn.
- MS or PhD degree in Computer Science with specialization in Artificial Intelligence, Machine Learning, or related technical field.
Pearson
Location: Bismarck, ND
Required:
- MS or PhD in a quantitative field (CS, EE, statistics, math, data science) required
- 5 years experience in the field of natural language processing (NLP)
- 5 years professional experience as a software engineer or data scientist
- Strong coding capabilities in Python and/or R
- Experience with Linux and AWS
- Proven ability to build neural networking models for natural language applications
- 5 years experience TensorFlow, PyTorch or Keras
- Strong in using Jupyter notebooks for research and data analytics
Additionally:
- Kubernetes