187 Ml Engineer jobs in Canada
ML Engineer
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**Position Title:** MLOps Engineer
**Department:** MLOps Engineering
**Location:** Downtown Toronto, Ontario, Hybrid (3 days onsite)
**About the Job**
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?
Sanofi has recently embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
**About You**
You are a dynamic MLOps Engineer interested in challenging the status quo to ensure seamless AI/ML Engineering Operations that scale up Sanofi's AI solutions for the patients of tomorrow. You are an influencer and a future leader who has deployed AI/ML solutions with technically robust lifecycle management and infrastructural support. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies.
**Main Responsibilities:**
+ Work in an agile development pod to design, build and maintain cloud hosted AI/ML products with automated pipelines that run, monitor, and retrain ML Models
+ Implement automated ML pipelines (e.g., training and inference) working closely with other peers e.g., data scientists and data engineers
+ Support life cycle management of deployed AI/ML apps (e.g., new releases, change management, monitoring and troubleshooting)
+ Work as subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)
+ Build processes and reusable components supporting seamless ML Operations (e.g., app monitoring, troubleshooting, life cycle management and customer support)
+ Walk stakeholders and solution partners through solutions and reviewing product change and development needs
+ Maintain effective relationships with app userbase to develop education and communication content as per life cycle events
+ Research and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential
**Key Technical Skills**
+ University degree (Bachelor, Master or PhD) in Computer Science, Information Systems, Software Engineering, or another quantitative field.
+ Minimum 2 years of experience in building, deploying, monitoring and maintaining AI/ML applications utilizing cloud technologies (e.g., AWS, GCP, Azure, Snowflake etc.).
+ Ability to work across the full stack and move fluidly between programming languages (e.g., Python) and MLOps technologies (e.g.Github, Argo, Metaflow, WandB, Snowflake, AWS SageMaker)
+ Experience in implementing CI/CD pipelines for AI/ML driven app development
+ Experience in building and deploying apps with large scale data and ML pipelines
+ Ability to assess new technologies and compile architecture decision records (ADRs)
+ Experience working in an agile team supporting and working with cross-functional teams
+ Knowledge of relational (e.g., Postgres SQL) and non-relational databases (e.g., Graph database, Vector Database etc.)
+ Experience in visualization technologies (e.g. Python DASH, Tableau, PowerBI)
+ Experience in developing and maintaining backend APIs (e.g. REST)
+ Experience in provisioning cloud infrastructure leveraging Infrastructure as a code tools (e.g.: Docker, Kubernetes, Terraform)
+ Experience in cloud-based ML engineering in an industrial setting within a global organization (technology company preferred)
+ Experience in working within compliance (e.g. quality, regulatory - data privacy, GxP, SOX) and knowledge in cybersecurity is a plus
**Why Choose Us?**
+ Bring the miracles of science to life alongside a supportive, future-focused team.
+ Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
+ Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
This position is for a current vacant role that we are actively hiring for.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
#GD-SP
#LI-SP
#LI-Hybrid
#DBBCA
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
_North America Applicants Only_
The salary range for this position is:
$86,100.00 - $24,366.66
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK ( .
La fourchette salariale pour ce poste est la suivante:
86,100.00 - 124,366.66
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien ( .
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
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ML Engineer
Posted today
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Job Description
About Us:
At AssistIQ we are dedicated to creating a more efficient and transparent healthcare supply chain by fixing one of the core problems - providers lack accurate data and insights on their supply and implant usage. Our AI-driven software solution provides highly accurate, seamless capture of supply and implant usage in real-time, and generates actionable insights to healthcare systems, enabling better revenue capture and reduced waste, ultimately leading to better value of care and better outcomes for patients.
About the Role:
In the role of ML Engineer, you’ll transform prototypes and experimental models developed by Data Scientists into scalable, maintainable, and production-ready Python applications. You’ll also integrate these solutions with databases and cloud services, as well as with the UX interface, ensuring performance, reliability, and alignment with broader engineering standards. You will leverage best practices, supporting the development of a scalable implementation model that serves our customers.
Your ultimate goal is to deliver stable and successful solutions to our customers.
We’re excited by candidates who enjoy and are capable of working in a fast-paced entrepreneurial environment. To be successful, you'll need to combine strong Python development skills with a pragmatic understanding of how to turn experimental code into robust, scalable, and cloud-ready applications. Equally important, you’ll thrive in close collaboration with data scientists, engineers, product managers, and other cross-functional team members.
Given the nature of startup life, this role is dynamic with priorities evolving regularly and with strong delivery commitments.
Responsibilities:
- Productionize machine learning models and data science workflows
- Translate Jupyter notebooks code into clean, modular Python code
- Proficiency in developing and debugging code within Jupyter Notebooks
- Refactor and optimize algorithms for efficiency, scalability, and maintainability
- Package models into deployable components (e.g., Docker containers, Python packages)
- Implement model inference pipelines and batch or streaming prediction jobs
- Monitor and troubleshoot performance of models in production
- Collaborate with Data Scientists to validate model behavior and output post-deployment
- Communicate with various customer stakeholders with project updates throughout the implementation process
- Identify and escalate potential risks to the implementation timeline in a timely manner
- Develop and maintain backend Python services and APIs
- Design, build and maintain a Python-based framework that enables repeatable development and seamless deployment of machine learning models and advanced analytics solutions
- Handle input validation, data preprocessing, and result formatting in services
- Write automated tests to ensure code reliability and reproducibility
- Integrate logging, exception handling, and versioning in deployed services
- Manage dependency configuration and environment setup for deployments
- Optimize response time and throughput for model-serving endpoints
- Collaborate on cloud and database integration for solid and scalable deployment
- Interface with cloud platforms (e.g. AWS, GCP) for deployment and storage
- Work with relational and non-relational databases (e.g. PostgreSQL, BigQuery, etc.)
- Implement data ingestion and feature retrieval pipelines
- Ensure secure and compliant access to sensitive data
- Contribute to development workflows for seamless deployment and updates
Requirements
Requirements :
- 3+ years of hands-on Python programming experience, with strong knowledge of software engineering best practices
- Proven experience turning data science prototypes into production-grade code and services
- 2+ years of deploying and supporting Python based ML workloads and ETL data pipelines
- Familiarity with machine learning concepts and workflows, even if not building models from scratch
- Experience deploying and maintaining applications in cloud environments (e.g., AWS, GCP, Azure)
- Experience or knowledge with Apache Airflow or similar workflow orchestration tools for building and managing data and ML pipelines.
- Solid understanding of database technologies, including both SQL and NoSQL systems
- Proficiency with development tools such as Git, Docker, Makefiles, virtual environments, and testing frameworks
- Ability to build and document modular, reusable, and testable code for long-term maintainability
- Strong problem-solving mindset, with the ability to work independently
- Ability to adapt quickly and switch between tasks or priorities in a fast-paced, dynamic start-up environment.
- Excellent communication and collaboration skills, with a willingness to work closely with Data Scientists, Engineers, and Product teams
Benefits
- Health insurance
- Business travel when needed
- 3 weeks of vacation
- 10 sick days
- Flexible work hours
- Hybrid in Toronto or Montreal
AI/ML Engineer
Posted today
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Job Description
Salary: $90,000
Franais ci-dessous
Summary
Were seeking an experienced and innovative AI/ML Engineer to drive AI transformation at Nimonik.
In this role, you will design, develop, and implement AI solutions (such as various classification solutions, agentic systems, search tools, and chatbots) to leverage Nimoniks extensive regulatory and standards database.
If you have a strong background in AI development, strong programming skills, and a passion for solving problems, this is a perfect opportunity to have fun, experiment with latest technology and deliver great AI solutions that make a difference!
Responsibilities
- Collaborate with various teams to define business requirements
- Serve as a technical center of excellence for AI and ML initiatives
- Design, develop, and deploy AI solutions in production using traditional ML models, RAG + LLMs, fine-tuned LLMs, and agentic systems
- Identify data collection and annotation needs, and ensure datasets are properly prepared for training and fine-tuning models
- Evaluate and benchmark AI models using appropriate performance metrics for accuracy, efficiency, and business relevance
- Collaborate with software engineers to integrate AI applications into Nimoniks platform.
- Stay up to date with the latest advancements in AI, experiment and apply them
- Document code, methodologies, and experiments, and contribute to the knowledge sharing within the team
- Participate in SR&ED reporting.
Requirements
- 3+ years of relevant experience in AI software development and machine learning engineering, including experience with:
- Cloud platforms (preferably, AWS and its services like Amazon Bedrock, SageMaker, Lambda, OpenSearch etc.)
- SQL (e.g., PostgreSQL)
- API development (FastAPI, Flask, etc.)
- ML tools such as PyTorch, Tensorflow, HuggingFace, etc.
- Training, fine-tuning, evaluating, and deploying BERT and similar transformer-based models
- Open source and proprietary LLMs such as Claude, GPTs, and Qwen
- Open source and proprietary vector databases such as OpenSearch, Weaviate and Pinecone
- Implementation of RAG pipelines using LangChain or similar frameworks
- MCP and agentic LLM systems
- Deployment of AI applications with a focus on data privacy and security.
- Excellent skills in Python software development
- Ability to think out of the box, design AI solutions based on the newest technology, and deliver the results.
Will be a plus:
- A degree in Machine Learning, Artificial Intelligence, Computer Science, Software Engineering, or a related field
- Knowledge of the legal and compliance field
- Skills and experience in front-end development
- Experience with search engines.
Hiring Process
- 20-minute screening call
- Code test
- General interview.
About the position
- 37.5 hours work week
- Office in Montrals Mile End, with an option to work from home (hybrid to start and remote possible further)
- Flexible work schedule
- Competitive salary
- Other benefits such as:
- Health insurance
- Three weeks paid vacation to start
- Paid Fridays off in July
- Paid extended Christmas break
- Family-friendly policies
- Great office coffee
This position is permanent, with a three-month probation period before being eligible for full benefits.
About Us
We are a fast-growing B2B SaaS company that offers cutting-edge compliance software to mid and large companies around the world. Our mission is to help our clients achieve and maintain compliance with ease, while improving their operational efficiency.
If you are a strategic and results-driven person with a passion for innovation, and you want to make a difference in the compliance software industry, we want to hear from you!
Rsum
Nous sommes la recherche dun(e) Ingnieur(e) IA/ML expriment(e) et innovant(e) pour mener la transformation IA chez Nimonik.
Dans ce rle, vous concevrez, dvelopperez et mettrez en uvre des solutions dintelligence artificielle (telles que des systmes de classification, des agents intelligents, des outils de recherche et des chatbots) afin de tirer parti de la vaste base de donnes rglementaires et normatives de Nimonik.
Si vous avez une solide exprience en dveloppement IA, de fortes comptences en programmation, et une passion pour la rsolution de problmes, cest loccasion idale de vous amuser, dexprimenter les dernires technologies et de livrer des solutions IA percutantes qui font rellement la diffrence!
Responsabilits
- Collaborer avec diverses quipes pour dfinir les besoins mtier
- Servir de centre dexcellence technique pour les initiatives en intelligence artificielle et en apprentissage automatique
- Concevoir, dvelopper et dployer en production des solutions dIA utilisant des modles classiques de ML, des approches RAG combines aux LLM, des LLM ajusts (fine-tuning) et des systmes agentiques
- Identifier les besoins en matire de collecte et dannotation de donnes, et veiller ce que les ensembles de donnes soient correctement prpars pour lentranement et lajustement des modles
- valuer et comparer les modles dIA laide de mtriques pertinentes pour mesurer leur prcision, leur efficacit et leur pertinence mtier
- Collaborer avec les ingnieurs logiciels pour intgrer les applications dIA la plateforme de Nimonik
- Se tenir jour des dernires avances en IA, exprimenter et les appliquer
- Documenter le code, les mthodologies et les expriences, et contribuer au partage des connaissances au sein de lquipe
- Participer la rdaction des rapports RS&DE
Exigences
- 3+ ans dexprience pertinente en dveloppement logiciel IA et en ingnierie de lapprentissage automatique, incluant une exprience avec:
- Les plateformes infonuagiques (de prfrence AWS et ses services comme Amazon Bedrock, SageMaker, Lambda, OpenSearch, etc.)
- SQL (ex.: PostgreSQL)
- Le dveloppement dAPI (FastAPI, Flask, etc.)
- Les outils de ML tels que PyTorch, TensorFlow, HuggingFace, etc.
- Lentranement, lajustement (fine-tuning), lvaluation et le dploiement de modles de type BERT et autres modles bass sur des transformeurs
- Les LLM open source et propritaires tels que Claude, les GPT et Qwen
- Les bases de donnes vectorielles open source et propritaires telles quOpenSearch, Weaviate et Pinecone
- La mise en uvre de pipelines RAG laide de LangChain ou de cadres similaires
- MCP et les systmes LLM agentiques
- Le dploiement dapplications IA avec une attention particulire la confidentialit et la scurit des donnes
- Excellentes comptences en dveloppement Python
- Capacit sortir des sentiers battus, concevoir des solutions dIA bases sur les technologies les plus rcentes, et livrer des rsultats concrets.
Atouts
- Diplme en ML, intelligence artificielle, informatique, gnie logiciel ou domaine connexe
- Connaissance du domaine juridique et de la conformit
- Comptences et exprience en dveloppement front-end
- Exprience avec les moteurs de recherche
Processus dembauche
- Entretien tlphonique de prslection de 20 minutes
- Test de codage
- Entretien gnral
propos du poste
- Semaine de travail de 37,5 heures
- Bureau situ dans le Mile End Montral, avec possibilit de tltravail (modle hybride au dpart, avec option de travail distance complet par la suite)
- Horaire de travail flexible
- Salaire concurrentiel
- Autres avantages, notamment:
- Assurance sant
- Trois semaines de vacances payes ds lentre en poste
- Vendredis pays en cong durant le mois de juillet
- Cong prolong et pay pendant la priode des Nol
- Politiques favorables la vie de famille
- Excellent caf au bureau
Ce poste est permanent, avec une priode de probation de trois mois avant dtre admissible lensemble des avantages.
propos de nous
Nous sommes une entreprise SaaS B2B en forte croissance qui offre des solutions logicielles de conformit de pointe aux moyennes et grandes entreprises travers le monde. Notre mission est daider nos clients atteindre et maintenir la conformit en toute simplicit, tout en amliorant leur efficacit oprationnelle.
Si vous tes une personne stratgique, axe sur les rsultats, passionne par linnovation et dsireuse de faire une relle diffrence dans lindustrie des logiciels de conformit, nous voulons vous entendre!
Senior AI/ML Engineer
Posted today
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Job Description
About CookUnity
Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul.
Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world.
If that mission has you hungry in more ways than one, you've found the right job posting.
The role:As the Head of AI/ML/GenAI, you will lead a high-performing team of AI/ML engineers, and embedded data engineers. You will be responsible for driving the vision and strategy for CookUnity's AI/ML/GenAI initiatives, data infrastructure, and community-driven engineering efforts. This is a unique opportunity to build and scale state-of-the-art AI/ML solutions that fuel growth and innovation within the company, while fostering a collaborative environment that leverages the expertise of engineers across various domains.
This role reports directly to the Chief Technology Officer (CTO), working closely with senior leadership to align AI/ML strategy with the overall business vision.
A key focus of this role will be accelerating the adoption and integration of Large Language Models (LLMs) and Generative AI (GenAI) technologies across CookUnity, enabling innovative product features and internal efficiencies.
Responsibilities:- Leadership & Team Management:
- Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers.
- Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning.
- Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently.
- AI/ML Strategy & Implementation:
- Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity.
- Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making.
- Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth.
- Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems.
- Data Infrastructure & Architecture:
- Oversee the architecture of CookUnity's data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments.
- Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics.
- Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security.
- Collaboration & Cross-Functional Partnerships:
- Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions.
- Drive the integration of embedded data engineering into core product development cycles.
- Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes.
- Community & Knowledge Sharing:
- Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation.
- Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends.
- Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML.
- Reporting & Analytics:
- Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions.
- Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption.
Qualifications:
- 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role.
- Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision.
- Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale.
- Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations.
- Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift).
- Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance.
- Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders.
- Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment.
- Experience with embedded data engineering, working closely with product development teams.
- Familiarity with data privacy and security regulations (e.g., GDPR, CCPA).
- Background in food-tech, consumer goods, or related industries.
Learn More About CookUnity
We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.
We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect!
Benefits
Senior AI/ML Engineer (Remote)
Posted today
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About vidIQ
vidIQ builds software to help YouTube creators achieve their goals. Our mission is to advance the creator's journey with actionable data-driven insights and AI-powered tools. We are dedicated to our values of being creator-obsessed, lean and fast, and scientific. Having already supported millions of creators, we invite stunning new co-workers to join us in reaching millions more.
Imagine a product that reached over a million users without a traditional sales team. This product stands at the forefront of career evolution, where everyone can be their own brand with unlimited growth potential. That's the opportunity at vidIQ—an infinite market, a large and highly engaged customer base, and the chance to help scale the platform that delivers insights to millions of creators.
Discover more about vidIQ firsthand at .
About the Team
We're a team of 100+ people. Our vision is to be the smart copilot for every creator. We strive to create a welcoming environment where our team of highly driven, passionate people can share ideas with each other and do their best work. We are looking for team members who are excellent at their craft, communicate with kindness, and act like OWNERS.
An overview of our technology stack
Frontend: Typescript, React.js, Next.js
Backend: Scala /Python/ Node.js
Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD
Cloud: AWS, GCP
Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch
Data processing: Python, Spark, Kafka, Airflow, Pandas, Numpy
ML libraries: PyTorch, Hugging Face, sci-kit-learn, Tensorflow, Keras
ML algorithms: multi-modal LLMs, Diffusion Models, Recommender Systems, ANN
About the Role
We are looking for a highly motivated AI/Machine Learning Engineer, with a background in backend development. In this role, you'll work closely with a cross-functional team to drive product innovation and deliver high-impact results. The ideal candidate will have robust engineering experience, a proactive mindset, and a proven track record in product development. You will be expected to frequently collaborate with key stakeholders, including senior leadership , articulate technical concepts to non-technical audiences, and lead by example in a FAST-PACED , results-oriented environment.
What you will do
Work closely with Product Managers/Senior Leadership to frame problems within the business context and deliver the highest impact to our users
Design, implement and ship new features with a high level of responsibility and OWNERSHIP
Implement scalable solutions to consistently serve a vast global user base
Help establish architecture based on technology and our needs
Build, train, and test Machine learning/AI solutions focusing on natural language processing, recommender systems, computer vision
Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines
Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components
Participate in code-reviews to ensure code quality and distribute knowledge
Monitor and troubleshoot existing features and resolve any issues that arise
Senior Deep Learning Engineer
Posted today
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Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
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Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
Job Viewed
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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Senior Deep Learning Engineer
Posted today
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Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
Senior Deep Learning Engineer
Posted today
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Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
- Experience with CNNs, LSTMs/RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C/C++
Preferred Skills & Experience:
- Master's or PhD in Computer Science, Engineering, or related field
- Experience in embedded or low-level programming
- Knowledge of CUDA/OpenGL
- Experience deploying neural networks in production
- Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.