Senior Machine Learning Engineer

1 week ago

Vancouver, British Columbia, Canada Klue Full time
Job Description:Job information Senior Machine Learning Engineer from the Company Klue, this latest Senior Machine Learning Engineer job vacancy is located in the city Hybrid work in Vancouver, BC located in the country Canada . This latest job opening is open to job seekers who have the latest education / graduate Bachelor Degree . Job Vacancies in this Programmer field have been opened and published up to the specified time.Job Responsibility:We are looking for SeniorMachine Learning Engineers to work with our team to deliver high quality products in the most efficient way. We build machine learning services and data pipelines to automatically extract insights about competitors from both public and internal data sources. Every day, our services process millions of data points, including news articles, press releases, webpage changes, Slack posts, emails, reviews, CRM opportunities, and user actions. We utilize a broad array of ML techniques, including classification, clustering, recommendation, summarization, prompt engineering, vector search, and retrieval augmented generation. uD83DuDCA1Klue + You? Q: Klue who? A: We're Klue and from a technical perspective, Klue's mission is to descale huge amounts of data to the human level, so people can process it and make use of it. Klue is that trusted intermediary, right now it's proven for sales enablement, but tomorrow it's all teams enablement. Q: What level of experience are we looking for? A: Right now, we are looking for experienced senior-level Machine Learning Engineers. Q: What are we working on? A: Services for collecting, processing and generating timely, relevant intel that is accurately linked to competitors, products, industries, and people. Our Machine Learning Engineers are primarily focused on the training, evaluation, and deployment of models to label, score, cluster, and generate insights. Q: What technologies do we use? A: Python, Transformers, Pytorch, Hugging Face, Spacy, Sklearn, Pinecone, Kubeflow, Vertex AI, BentoML, Aporia, JS, PostgreSQL, Elasticsearch, Redis, GCP, BigQuery, Docker/Kubernetes, Github, GPT. We believe in using whatever tools make sense to get the job done and support our game-changing innovation.Q: What skills do you bring?
  • A: You are an expert on the landscape of transformer models and are proficient with popular ML frameworks such as PyTorch, Hugging Face, or Scikit-Learn.
  • You stay up to date on recent advances with LLMs and you demonstrate astute judgment in deciding whether to train a model with a custom architecture or leverage GPT.
  • You ensure your experiments are reproducible, balancing swift discovery with scientific rigor.
  • You are proficient in designing, implementing, and deploying RESTful APIs and you have experience with (non)relational and vector databases.
  • You demonstrate good judgment when making architectural decisions and you understand how those decisions fit into the bigger picture.
Q: How do teams work?
  • Hybrid. Best of both worlds (remote & in-office)
  • Our main Canadian hubs are in Vancouver and Toronto, and most of our teams are located in EST and PST.
  • You and your team will be in office at least 2 days per week.
Q: What about total compensation & benefits?
  • Benefits. We currently have extended health benefits starting on your 1st day.
  • Time off. Take what you need. We want the team to prioritize wellness and avoid burnout. Vacation usually falls into 3 categories: recharging, life-event, & keeping a work-life balance. Just ensure the required work gets done and clear it with your team in advance. You need to take at least two weeks off every year. The average Klue team member takes 2-4 weeks of PTO per year.
We gather compensation benchmarking data across the BC & Canadian Tech Industry and use that data to build a range for our current team and future talent. Your exact salary is determined by experience level, skill, capabilities, whether or not you select options, and internal pay parity. If you feel like this role is a great fit and have questions about comp, get in touch and we're happy to discuss further. There is always an ongoing conversation around compensation.

Keywords : Vancouver jobs

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