Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• BSc+ in Computer Science, Math, Physics, or similar

Experience Requirements:

• 2+ years of extensive programming experience, 1+ year experience of building machine learning production system

Other Requirements:

• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models

• Experience with developing MLOps CI/CD pipelines for deploying AI/ML models

• Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory

• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving

• Expert coder with Python, Java, or Scala

• Experience with RAG, LLM fine tuning, LLM serving

• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

• Knowledge of cloud engineering

• Self-motivated and demonstrated ability to take independent action to delivery results.

• Highly developed critical thinking, analytical and problem-solving skills

• Strong verbal and written communication skills, with the ability to work effectively across teams

Responsibilities:

• Traditional ML: Develop and deploy batch and real-time model inference pipelines to production, perform end-to-end integration testing.

• Gen AI: Develop and deploy scalable production Gen AI systems for Gen AI models.

• Mode Serving Framework: Develop in house model serving framework or integrate open-source model serving framework with enterprise data platform.

• ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.

• Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex and large datasets for machine learning models.

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• Master’s degree in data science, artificial intelligence, computer science or equivalent experience

Experience Requirements:

• Minimum three years of experience delivering major data science projects in large, complex organizations

Other Requirements:

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

Responsibilities:

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

• Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

• Work closely with stakeholders to identify, refine and (occasionally) reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features

• Facilitate the professional & technical development of your colleagues through mentorship and feedback

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• BSc+ in Computer Science, Math, Physics, or similar

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

Experience Requirements:

• 3+ Years of industry experience as a Software Engineer leading the development of features

• Experience with building and scaling data-intensive software.

• 2+ years of research experience with publication record

• 2+ years of extensive programming experience, 1+ year experience of building machine learning production system

Other Requirements:

• Experience with building a library or a framework.

• Experience with Big Data technologies and frameworks including but not limited to Spark, Cassandra, Kafka.

• Experience with Microsoft Azure

• Comfortable with statistics.

• Knowledge of machine learning and deep learning.

• Knowledge of distributed systems.

• Strong background in machine learning and deep learning

• Proven track record of applying machine learning to solve real-world problems

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models

• Experience with developing MLOps CI/CD pipelines for deploying AI/ML models

• Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory

• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving

• Expert coder with Python, Java, or Scala

• Experience with RAG, LLM fine tuning, LLM serving

• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

• Knowledge of cloud engineering

• Self-motivated and demonstrated ability to take independent action to delivery results.

• Highly developed critical thinking, analytical and problem-solving skills

• Strong verbal and written communication skills, with the ability to work effectively across teams

Responsibilities:

• Own and ship product features that enable ML engine capabilities.

• Work with product owners and tech leads to design, ship, and refine significant components of the product.

• Work with scientists and MLOps teams to maintain and service the product.

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

Benefits:

• Competitive salary

• Generous health, dental, and vision insurance

• Flexible working hours

• Flexible vacation time

• Hybrid/Remote friendly work environment

Education Requirements:

• Phd or Master’s level degree in computer science, machine learning, engineering or related fields

Experience Requirements:

• 2-5 years of experience working as a data/AI scientist developing AI models and evaluation of AI/LLM models

• Experience applying both technical and non-technical (policy, ethical, social) approaches to model risk and impact assessments

• Familiarity with requirements contained in AI regulations as well as leading standards and frameworks (EU AI Act, NIST AI Risk Management Framework, ISO Standards, etc)

Other Requirements:

• Excellent organizational and project management skills, including the ability to lead a small team on client-facing projects

• Strong technical, analytical and conceptual problem-solving skills

• Demonstrated experience drafting reports and academic publications

• Team player

• Comfortable in a flexible and evolving environment

• Ability to multitask

Responsibilities:

• Support client model assessment projects from start to finish, including advising on the selection and development of test plans and evaluation metrics suited to the business use case and regulatory requirements

• Play a lead role in drafting model assessment reports for clients, including addressing the broader compliance and/or business impacts of assessment technical findings

• Develop and document assessment team standard operating procedures with a view to improving project efficiency and customer satisfaction

• Serve as one of the main points of contact for technical questions related to model assessment approaches and findings

• Work with the Chief Technology and Product Officer and assessment team to identify state-of-the-art techniques, methods and tools for model testing, evaluation and validation of AI/ML systems, including generative AI

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• Computer Science, engineering, or related degree

Experience Requirements:

• 5+ years of experience, specifically in AI

Other Requirements:

• Background in program/project management

• Creative problem solver, passionate about solving hard problems

• Strong C++ development skills required

• Experience with tuning and optimizing code for high performance

• Knowledge of Neural Network basic operator algorithms

Responsibilities:

• Management of program / project teams to deliver Neural Network Model Garden Models including the identification, design and implementation of C++ low-level flexible programs (kernels) for various neural net operations

• When required development of complexed kernels and compiler strategies to address the network requirements

• Communicate performance optimization ideas both to compiler/kernel engineers and to architects working on future product generations

Benefits:

• 20 vacation days

• Day one health benefits

• Unlimited sick days

• Stock options

• Free lunch once a week

Education Requirements:

• Computer Science, Engineering or related degree, preferably MS or PhD

Experience Requirements:

• 2+ years of related experience

Other Requirements:

• Thorough understanding of deep neural nets

• Experience developing the internals of modern optimizing compilers

• Understanding of advanced optimization techniques

Responsibilities:

• Build software that maps a neural net onto our hardware

• Devise and implement multiple data layout strategies

• Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies

• Implement efficient mappings between data layouts

• Evaluate current and proposed hardware architecture for future products

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• Computer Science, engineering, or related degree

Experience Requirements:

• 5 years of software development experience, specifically in AI

Other Requirements:

• Knowledge of Neural Network basic operator algorithms

• Experience with end to end software development

• Experience working in cross-functional teams

• Experience with tuning and optimizing code and Neural Networks for high performance

Responsibilities:

• Use and advance our products in the development and delivery of leading edge customer neural networks and applications

• Understand and evaluate neural network performance at a chip, system and application level through performance profiling and benchmarking

• Identify/diagnose challenges in using our products for specific use cases and define and develop projects to resolve them.

• Engage with the Customer Neworks Lead on any escalations to the software and hardware team

• Actively engage with customers to ensure they feel supported by Untether AI post sale and delivery of the product

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• Degree in Computer Science, Computer Engineering or a related discipline

Experience Requirements:

• Minimum 5 years of software engineering or related work experience

Other Requirements:

• Proven experience in software design, debugging, and performance analysis

• Deep understanding of system level architecture

• Familiarity with a variety of CPU architectures

• Experience with Linux driver or Linux Kernel development

• Excellent C and C++ programming skills

Responsibilities:

• Evangelize, architect, and implement key aspects of our production kernel and user-mode drivers, their APIs, and the corresponding toolchain

• Craft elegant solutions to exciting problems and form the future direction of our system software

• Design, develop and verify software that interacts with our chip

• Identify functional/performance bottlenecks and alleviate them in order to achieve scalable and reliable software

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• Computer Science, Engineering or related degree

Experience Requirements:

• 5+ years experience, with a healthy amount of both deep learning and software engineering

Other Requirements:

• Experience with one or more deep learning frameworks

• Experience working with one or more of the following: CNNs, LSTMs/RNNs, Transformers

• Experience reproducing academic work from the field of AI

• Strong math background

• Strong Python skills

Responsibilities:

• Building tools for our customers to ingest, optimize, and quantize their networks

• Working with deep learning frameworks at a deep level

• Modifying and extending backend functionality

• Supporting the development of the SDK to produce highly optimized, accurate networks running on our chip

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• 5+ years of experience in 7nm and smaller finFET nodes

Experience Requirements:

• 5+ years of experience in 7nm and smaller finFET nodes

Other Requirements:

• Expertise in using industry standard CAD tools such as Cadence Virtuoso

• Experience with closing LVS, DRC, ERC, SRAM, other PVERF checks on custom designs

• Understanding of EMIR and mitigations

• Linux or Unix

Responsibilities:

• Collaborate with circuit designers to understand electrical and physical needs of complex custom memory array designs

• Design custom standard cell compliant transistor level layout meeting strenuous PPA goals

• Drive learning and optimization for physical effects of process variation

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• B.S, M.S, or Ph.D in Electrical Engineering, Computer Engineering or Computer Science

Experience Requirements:

• 5+ years of experience in hardware systems design

Other Requirements:

• FPGA/ASIC development environment tools expertise

• Strong knowledge with RTL programming languages Verilog/SystemVerilog

• Ability to read and write code in Python

• Hands on experience in PCIe PHY and controller IP integration and bring-up

Responsibilities:

• Design, propose, and oversee the analysis/evaluation of hardware architectures

• Design and code RTL modules written in Verilog/SystemVerilog

• Simulate and perform hardware-based testing, debug, and verification

• Scripting and basic software development in support of hardware design

• Apply Agile development methodologies

Benefits:

• 20 vacation days

• Strong health and extended health benefits

• Unlimited sick days

• Stock options

Education Requirements:

• BS/MS/PhD in EE/CE/CS, or equivalent

Experience Requirements:

• 5+ years experience in firmware development

Other Requirements:

• 2+ years experience in RTL simulation

• Proven ability to develop and maintain high-quality design documents

• Good verbal and written communication skills

• Ability to work independently and as part of a team

Responsibilities:

• Contribute to and review hardware, software, and system architecture

• Develop firmware design documents based on technical requirements

• Implement firmware and validate it in simulation, on FPGA/Emu, and on real silicon

• Enhance the tools and testbenches necessary for design development

• Mentor one or more engineers or interns to assist in implementation and debug