Senior Machine Learning Engineer, Procurify
$136-170k
+ Stock options
SQL
Python
Tensorflow
Spark
Pandas
Scikit-Learn
PyTorch
Hive
Parquet
Senior level
Remote in Canada
Procurement and purchasing software
Be an early applicant
Procurement and purchasing software
101-200 employees
B2BInternal toolsSupply ChainSaaS
Be an early applicant
$136-170k
+ Stock options
SQL
Python
Tensorflow
Spark
Pandas
Scikit-Learn
PyTorch
Hive
Parquet
Senior level
Remote in Canada
101-200 employees
B2BInternal toolsSupply ChainSaaS
Company mission
To reinvent the way organizations spend.
Role
Who you are
- 5-7+ years in a Machine Learning role, including 1+ years experience in LLMs
- Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML systems from the ground up
- Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn), as well as expertise in data processing and analysis (e.g., SQL, Pandas)
- Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures
- Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge
- Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering
- Strong understanding of Data Science concepts, able to partner with and support team members who need to use data to predict trends, glean insights on business drivers, and answer questions that are relevant to the organization
- Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders
- Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy
- Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress
- Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis
- Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
What the job involves
- Procurify is looking for an engaged and curious Senior Machine Learning Engineer who is passionate about technology and thrives on technological challenges
- Everyone at Procurify is a team player. We’re seeking entrepreneurial people who are willing to challenge the status quo and contribute to larger strategic objectives
- Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks
- KPIs: Model performance metrics (e.g. accuracy, precision, recall)
- Build complex, reusable architectures for services and systems using well-accepted design patterns to support iterative development and future scaling
- KPIs: Architectural documentation completeness, scalability metrics
- Develop and enhance systems to deliver personalized experiences to our users, utilizing advanced machine learning and AI technologies to derive engagement and satisfaction
- KPIs: User engagement metrics, Satisfactions cores like NPS
- Create and optimize machine learning models to automate and streamline user workflows, enhancing operational efficiency and user experience
- KPIs: Model performance improvements, releasing automation features
- Integrate and leverage Large Language Models (LLMs) to develop advanced NLP features, including but not limited to chatbots, workflow automation agents and data analysis tools using state-of-the-art models (e.g. OpenAI, Anthropic, open source models)
- KPIs: Accuracy, User adoption
- Partner across Product and Engineering teams on requirements to create product capabilities that fundamentally rely on AI and Machine Learning
- KPIs: Successful implementation of features on time
- Collaborate with leadership to shape the vision for machine learning and AI at Procurify, providing valuable insights and guidance on technological strategies and opportunities
- KPIs: Alignment of AI projects with business goals
- Drive conversations within Engineering to improve and optimize the source data models, integration of the ML capabilities including those in our product platform
- KPIs: Data quality metrics, successful implementation of features
- Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability
- KPIs: Time saved through automation, error reduction rates
- Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team
- KPIs: Team skill development
Our take
Business spending can be complex and intimidating, and companies often need to navigate multiple platforms. Companies need to find a way to make business decisions that are simple, well informed and ideally all on one platform.
Procurify helps businesses by assisting them to understand and align their organizational spending with their core values and business objectives. The company's procurement software offers a structured method that gains and tracks approvals for spending. The platform organises all purchasing and spend documents, and enhance the information that’s already in the accounting system.
The company is the leading spend management, purchasing, and procurement software platform and is used by hundreds of companies. They are focused on creating a new category around Spend Culture for small to mid-size companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Oct 2023
$50m
SERIES C
Jun 2019
$26m
SERIES B
Total funding: $88.4m
Company benefits
- Remote-first - As a remote-first organization, our team can work anywhere within Canada
- Four-day workweek - Burnout is real. To help you maintain the balance between work and life, all Procurify team members work four days a week
- Flexible work hours - We don’t have set hours. You have the flexibility to work on the schedule that works for you and your team
- Unlimited RTO - We know there’s more to life than just work, which is why we offer unlimited Responsible Time Off for all of our team members. We encourage our team to take breaks and unplug
- Health benefits - We prioritize our team’s health and wellbeing. We offer a competitive health, vision, and dental package along with an Employee Assistance Program (EAP), and a health and wellness spending account
- Stock options - Everyone has a chance to own a part of Procurify with our competitive stock program
- Financial wellbeing - We provide Wealthsimple programs and access to financial advisors to support our team’s diverse life goals
- Training and development - Personal and technical growth are things that we value, so we provide access to Pluralsight, Masterclass, and progressive career matrices
- Tech setup - We make sure our team is equipped with the right tools and tech to set them up for success from Day One
- Community initiatives - We have a strong commitment to giving back to our communities, including regular volunteer days, our Donate Your Day program, and education lunch and learns
- DEI initiatives - We run a diversity, equity, and inclusion roundtable monthly where we host guest speakers and tackle the topics that matter
- Referral program - It’s all about who you know. Our grand prize for our Referral Bonus Program is a bucket list vacation for two!
Company values
- Curiosity: If you don’t know, you ask
- Courage: We ask the hard questions because those are what move us forward
- Creativity: You actively think outside of what we know to come up with creative ideas
- Compassion: You practice compassion in every single other behaviour you do, whether it’s with our customers, community or team
Company HQ
Downtown Vancouver, Vancouver, BC
Articles
Leadership
Kenneth Loi
(CCO)A background in design and operations.
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