Machine Learning Engineer (Toronto / Remote)

About Agnostiq

Agnostiq is a Toronto based startup developing software with a mission to democratize access to the world’s most advanced computing resources. Agnostiq is the team behind Covalent, an open source distributed computing platform built for AI and HPC. 

Your Role 

As a Machine Learning Engineer specializing in Large Language Models (LLMs) at Agnostiq, you will play a pivotal role in developing and enhancing our AI-driven solutions. With a strong emphasis on LLMs, you will focus on the training and tuning of these models to achieve unprecedented levels of performance and efficiency. This position requires a deep understanding of machine learning principles, particularly in the context of natural language processing and generation. Due to our startup nature, the candidate must be comfortable initiating and taking on new projects independently and with limited supervision.

Key responsibilities

Required Technical & Professional Expertise

Nice-to-haves:

We are seeking a highly skilled and innovative Data Scientist to join our dynamic Product Team at Narratize. As our first dedicated Data Scientist hire, you will play a pivotal role in advancing our generative AI technology. You will lead our data science efforts, working closely with a talented cross-functional team to enhance and develop novel AI solutions for content generation. Your expertise will be instrumental in shaping the future of AI-driven creativity and innovation.

Key Responsibilities:

• Develop pragmatic ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets.
•  Develop and implement state-of-the art algorithms and methodologies for generative content creation.
•  Oversee data collection, processing, and annotation efforts to enhance our training datasets.
•  Evaluate and select appropriate tools and technologies to support data science initiatives.
• Stay up-to-date with the latest advancements in AI and data science, ensuring that our technology remains at the forefront of innovation.
•  Collaborate closely with cross functional teams to define and refine our data strategy and AI solutions that align with Narratize’s strategic goals.
•  Participate in thought leadership activities, such as publishing research papers and presenting at conferences.
• Leadership in modeling, technology, technical product development / design, and technical product ownership.

• Potential Growth Trajectories
  • Build, lead and mentor a team of data scientists and researchers, fostering a culture of excellence and innovation. 
  • Conduct advanced research in natural language processing (NLP), machine learning, and deep learning to drive AI solution improvements.

Qualifications:

•  Expertise in NLP, machine learning, and deep learning techniques.
•  Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
•  Strong problem solving skills and a track record of delivering innovative solutions.
•  Prior experience in the development of AI driven applications is a plus.
• Technical skills, collaboration abilities, an entrepreneurial spirit, a drive for results, and adaptability across a wide group of stakeholders are core competencies essential to success in this role.   

About Narratize: Narratize combines the power of storytelling with cutting-edge generative AI technology to ensure that no great idea is left untold. From optimizing research & development processes to scaling product launch, Narratize empowers brands with transformative ideas to unleash their full potential.

Why Narratize: At Narratize, you will be part of a forward thinking team at the intersection of AI and creativity. We offer a collaborative and stimulating work environment where your ideas and expertise will be valued. Join us in revolutionizing the way innovators leverage AI to shape the future of content generation and storytelling.

If you are passionate about data science, AI innovation, and pushing the boundaries of what's possible, we encourage you to apply and be a driving force behind Narratize's mission.

Current projects they might be working on: 

• Creating a proof of concept for a personalized chatbot using GPT-3

• Reducing the training time for our Stable Diffusion model deployment

• Working with our backend engineers to expose Stable Diffusion fine-tune training and inference via the Vana API

Future roadmap/vision: 

At Vana, users come to create, share, monitor, and manage AI models trained on their Digital Self. Identity has taken on new meaning in the fast paced world of Generative AI. Vana is the entry point for Users to explore what their AI likeness is capable of, as everything from video games to social media to business becomes transformed and personalized to a degree we’ve never seen. Our AI needs to be cutting edge, and our Users need to know that we have their back every step of the way. 

You Will: (Responsibilities)

• Create proofs of concept for different product ideas enabled by Generative AI technology

• Investigate emergent generative AI technologies for inclusion in the Platform

• Build text, image, and video input and output processes to increase the quality and safety of the generative AI algorithms

• Build pipelines to execute deep learning inference and training requests. 

• Benchmark and optimize ML infrastructure for performance and cost.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science or related field

• 4+ years of professional experience in ML/AI.

• Proven ability to ship end-to-end solutions for ambiguous problems using ML with specific emphasis on discovering and prototyping solutions

• GCP, AWS, Azure, or equivalent cloud machine learning platform experience

• Proven ability to deploy ML models to the cloud to rapidly iterate on new features or apps

Preferred Qualifications:

• Previous experience with Generative AI

• Experience with Vertex AI and Google Cloud Platform

• Experience in a startup environment

What we offer
We are building a foundational piece of the user-owned internet and would love for you to be a part of our team. We are a diverse group of driven, smart, and ambitious individuals, constantly challenging each other to grow, learn and iterate faster. We are experts across our fields and experienced entrepreneurs looking to scale our success in something deeply mission-driven.

For more information, see our Vana Hiring FAQ [External]. 

At Vana, we are big on collaboration and supporting each other to learn, grow, and excel in our individual pursuits. In addition to joining the Vana family, the successful candidate will receive: 

• A competitive base salary, plus equity. The salary range for this position is $140,000 - $220,000.

  • Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.

• A generous benefits package including health insurance, dental, vision & wellness plan

• Flexible work schedule

• Unlimited PTO

DESCRIPTION

The Machine Learning Department has openings for researchers with a passion for developing the next generation of machine intelligence. Expertise in machine learning with a proven track record of original research are prerequisites for this position.

The Machine Learning Department has been at the forefront of research in such areas as deep learning, support vector machines, and semantic analysis for almost two decades. The research in our department has been published in premier venues and has won numerous awards, including the 2010 IEEE Neural Networks Pioneer Award, the 2012 IEEE Frank Rosenblatt Award, the 2012 Benjamin Franklin Medal, the 2013 NEC C&C Prize, ICML 2018 Test of Time Award, and NeurIPS 2018 Test of Time Award. A lot of our research has been translated into NEC’s businesses, leading to innovative products and services of NEC, such as semantic analysis of job applications and product reviews, accident prevention, anomaly detection, and digital pathology.

Currently our department is tackling challenges in imparting abstract reasoning capabilities to machine learning and facilitating effective human-machine collaboration, and how these enable new applications in sustainable environment, smart manufacturing, safe cities, natural language processing, and personalized healthcare.
https://www.nec-labs.com/research/machine-learning/home/

POSITION REQUIREMENTS
• PhD in computer science, electrical engineering, statistics, or equivalent
• Research experience in machine learning with strong publication record
• Strong algorithm and numeric computation background
• Programming experience in Python, C/C++, or other languages
• Experience with deep learning libraries and platforms a plus, e.g. PyTorch, TensorFlow

We also have summer/fall internships available: https://www.appone.com/MainInfoReq.asp?R_ID=4955548
 

MediaTek Incorporated (TWSE: 2454) is a global fabless semiconductor company that enables nearly 2 billion connected devices a year. We are a market leader in developing innovative systems-on-chip (SoC) for mobile device, home entertainment, connectivity and IoT products. Our dedication to innovation has positioned us as a driving market force in several key technology areas, including highly power-efficient mobile technologies, automotive solutions and a broad range of advanced multimedia products such as smartphones, tablets, digital televisions, 5G, Voice Assistant Devices (VAD) and wearables. MediaTek empowers and inspires people to expand their horizons and achieve their goals through smart technology, more easily and efficiently than ever before. We work with the brands you love to make great technology accessible to everyone, and it drives everything we do. Visit www.mediatek.com for more information.

Job:

Staff Engineer/Senior Engineer

Location:

US or Taiwan

Job Type:

Full Time

The Opportunity: Top-Notch Talent Program

MediaTek is inviting talents around the world to join our technical breakthrough for the next decade. Through this channel, you are given the opportunity to design your job assignments with your supervisor. Furthermore, with a customized individual development plan for at least two years, it is ensured that you will get your moment to shine sooner than your peers! If you have the ambition to unlock the challenge of the most advanced and innovative technology. Apply now!

As a staff engineer/senior engineer through MediaTek's top-notch hiring program, you are expected to bring innovation to the company. This role is responsible for advanced technology research and development. We provide training, and a co-work buddy to help you adjust and settle in during the beginner period. You will start as a researcher, and brought into tasks and projects with time, and soon, you will start leading to deliver projects that span across one or more business units. You will make proposals based on your expertise and creativity, and it is important that your ideas matched our business focus and core values, and you have the key knowledge and skills to support your ideas to land. You will play a part in helping the company to further excellence. With the resources provided by MediaTek, the world is your oyster.

 
Responsibilities:

• Keep up with latest academic research/breakthrough and share information with the team.
• Analyze technical development in the industry and develop extensive knowledge for interdisciplinary application.
• Propose innovative ideas and provide key skills in leading this proposal to success.
• Define success criteria. Provide status report regarding milestones, estimates/deliverable, risks and issues. 
• Deliver appropriate and effective executive level communication.
• Navigate interdependencies between technology, operations and business needs towards the benefits of project succeeding.
• Motivate all stakeholders and gain support to realize your vision.

Qualifications:

• EE/CS major, or other majors with a transcript showing the record of EE/CS requirements accomplished.
• Fresh PhD with no industry work experience.
• GPA from all degrees are 3.8 above out of 5.0 grading scale.
• Strong research publication record from top journals/conferences.
• Honorable advantages, such as top 3 winner of national contests, winner of Best Student, and etc., or with hold of an identity recognized by academia and industry, such as National Scholar, SRC Scholar, Google Scholar, and etc.
• Proven personal qualities of resilience and grit.

Field:

Architecture, Machine Learning, Deep Learning, Software Engineering, Product and Technology

Application:

Please contact Lana Hsu (lana.hsu@mediatek.com) at MediaTek directly with your resume.

Our Exciting Opportunity:

Ericsson Research is looking for highly motivated and hardworking Artificial Intelligence Researchers, bringing AI & Machine Learning to mobile networks.

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark! When joining our team at Ericsson you are empowered to learn, lead and perform at your best, crafting the future of technology. This is a place where you're encouraged as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team.

Come, and be where it begins.

You will:

Be pushing technology frontiers, combining machine learning and reasoning methods, tools, and techniques to drive intelligent autonomous operations in large complex telecom systems. If you:

• Are well acquainted with the scientific method and publish your results in scientific conferences or journals.
• Wish to apply those skills to tackle real and complex problems with high societal impact.
• And aim to inspire and lead research for the future 6G, IoT and Cloud systems.

To be successful in the role you must have:

• PhD in Computer Science or any related technical field (candidates with equivalent practical work experience will be considered).
• Strong programming skills in Python, Java, or C/C++.
• Experience in applying AI and ML techniques (reinforcement learning, explainable inference, graph-based learning) on large distributed tabular datasets
• Understanding of the AI open-source communities and practical experience with some of them such as scikit-learn, TensorFlow, pytorch, pandas, Spark, ray/gym, etc.
• Ability to scope, follow and execute on a research agenda

Additional qualifications:

• Publication record in AI (including machine learning applied to wireless technologies, distributed AI multi-agent systems) or related fields
• Active participation in open-source communities related to AI
• Experience with telecom industry and standards

At Massive Dynamics, we work on a wide range of problems: consumer sales, supply chain optimization, and pharmaceutical applications. Our capabilities and frameworks have a wide spectrum of applications. We have developed advanced technology and algorithms to uncover complex patterns and relationships, which may be subtle and deeply hidden in the data. Our goal is to help large enterprises with their Big Data challenges. Our team comprises a unique blend of scientists, applied mathematicians, and industry practitioners. We are passionate about what we do and have great colleagues!

We are looking for Data Scientist who is a self-starter and eager to contribute to a team of problem solvers.

Responsibilities

• ETL and data analysis (including scalable and complex techniques)
• Prototype solutions
• Data visualization and generating actionable insights
• API knowledge and web application frameworks are a plus

Qualifications

• PhD in quantitative field
• 1 - 2 years of experience in quantitative data analytics and/or numerical modeling
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Fluency in programming languages (Python, C, C++, R, SQL) and object-oriented programming. Deep Knowledge of Python packages is highly desired.
• Knowledge of optimization methods and optimization algorithms is a plus.
• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, PowerBI)

We offer health, dental, vision benefits.

Gentuity is seeking a software engineer with a generalist background in diverse technologies and multidisciplinary projects.

Our Company

Gentuity is an exciting and highly innovative medical technology firm, active in the research and development, clinical translation, and commercialization of vascular imaging devices.  This opportunity provides the candidates the unique chance to work on innovative medical products, with the potential to significantly change the practice of medicine in the care of patients suffering from a wide range of highly debilitating vascular diseases.

Our Team

The advanced development and software team supports numerous activities at Gentuity, from Firmware development to AI/Deep Learning, building technical tools for our scientists and manufacturing teams, image processing algorithms and user interfaces that that helps doctors interpret the state-of-the-art images our technology acquires.  We are a small team with ambitious goals.  We are looking to add an individual who will contribute to all these areas of software development and help us continue to build a solid base for the company’s goals.

Why What We Do Matters

Surgeons will use our devices to acquire images at resolutions that have not been seen before in their fields.  Doctors and scientists with whom we have partnered believe these images will fundamentally alter the understanding and treatment of deadly vascular diseases.  (Y)our work will help them translate anatomical and physiological vascular information into decisions that alter the patients’ course of treatment.

You Must Have

#1 – Strong understanding and experience with:

• Multi-threaded C++
• JavaScript

#2 – Demonstrable experience in at least three of the following:

• Qt/QML Framework / User Interface Development
• Scripting languages: Ruby / Python
• AI / Deep Learning (TensorFlow / similar packages)
• Image Processing algorithms (OpenCV / ITK / etc.)
• Full-stack web-development
• Computational Fluid Dynamics
• AWS / Azure / Cloud solutions
• DICOM / PACS integration
• Cybersecurity

Nice to have

Experience with building embedded software in medical, scientific, and/or analytical devices a plus.

Candidate Profile

Bachelor’s degree or equivalent experience in a technical field (e.g., Computer science, EE, Physics).  3+ years of experience.

Competitive pay, commensurate with experience.  Equal Opportunity Employer.

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can be predominantly work from home but the person who fills this role will must be within a commutable distance to the Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA offices.

We believe that our company’s success depends on the passion and creativity of our amazing employees. To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow. These set the tone for Best Buy, along with our Rallying Cry: Let’s talk about what’s possible. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees. If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.

As an Associate Director, Applied Machine Learning, you’ll take the lead driving research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases, building the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

Join us if you like:

• Leading the design and development of ML solutions as services
• Managing, mentoring and coaching a team of ML Scientists & Engineers leveraging state-of-the-art machine learning and deep learning techniques such as Transformer models with multi-headed self-attention, Bayesian optimization, and Graph Neural Networks and more!
• Applying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency
• Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities
• Having fun!

Minimum Requirements:

• Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
• Prior experience building, deploying, and serving ML models as resilient, elastically scalable cloud native services
• Extensive machine learning and algorithmic background with expert level understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• 8 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
• 3 years of experience managing a team of machine learning scientists and engineers
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Strong software design and implementation skills with a general-purpose programming language (e.g. Scala, Swift, C++/C#, Java, Haskell, etc)

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, MXNet or ONNX
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, Spark, Luigi, or Argo for end-to-end model building, training, serving and monitoring
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Open source contributions or GitHub portfolio

Best Buy Digital and Technology teams are working in a hybrid work model. Most roles can be predominantly work from home but the person who fills this role will must be within a commutable distance to the Richfield, MN, Seattle, WA, Atlanta, GA, or Boston, MA offices.

We believe that our company’s success depends on the passion and creativity of our amazing employees. To create environments in which our people can fully thrive, we turn to our guiding behaviors: Be human. Make it real. Think about tomorrow. These set the tone for Best Buy, along with our Rallying Cry: Let’s talk about what’s possible. Our supportive leaders collaborate with their teams through ongoing feedback and two-way dialogue to maintain a culture continual learning. All these factors combine to create an unbeatable experience for both customers and employees. If you like to have fun while you work, build confidence and grow your career, you’ll fit right in.

We at Best Buy work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.

As an Associate Director, Applied Machine Learning, you’ll take the lead driving research, development, and applications of cutting-edge machine learning and artificial intelligence algorithms across multiple technical teams to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you will combine strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of ML and AI algorithms to lead technical efforts to architect, develop, and operationalize models, algorithms, and production quality codebases, building the core engines that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

Join us if you like:

• Leading the design and development of ML products & services for personalization and recommendation domains
• Managing, mentoring and coaching a team of ML Scientists & Engineers leveraging state-of-the-art machine learning and deep learning techniques such as Transformer models with multi-headed self-attention, Bayesian optimization, and Graph Neural Networks and more!
• Applying software engineering skills to lead development and deployment of solutions that can scale to millions of requests per second with millisecond latency
• Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities
• Having fun!

Minimum Requirements:

• Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience
• Prior experience building, deploying, and serving ML models as resilient, elastically scalable cloud native services
• Extensive machine learning and algorithmic background with expert level understanding of at least one of the following areas: supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, graphical modeling, or nonlinear/stochastic optimization
• 8 years of experience building ML and/or AI driven products or other similar related functions (e.g. software engineering, data science, advanced analytics). Advanced degrees in relevant fields may be counted towards experience requirements.
• 3 years of experience managing a team of machine learning scientists and engineers
• Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
• Strong software design and implementation skills with a general-purpose programming language (e.g. Scala, Swift, C++/C#, Java, Haskell, etc)

Preferred Qualifications:

• Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)
• Experience building production grade ML models using one or more Deep Learning frameworks like TensorFlow, Keras, PyTorch, MXNet or ONNX
• Experience with one or more CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Prefect, Apache Airflow, MLFlow, Spark, Luigi, or Argo for end-to-end model building, training, serving and monitoring
• Experience building & deploying ML products over GCP and/or AWS
• Strong functional programming development skills
• Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
• Open source contributions or GitHub portfolio