Senior Machine Learning Engineer - reputed company

About reputed company reputed company is accelerating the green energy transition by providing advanced analytics and AI insights to operators of renewable energy assets. Our reputed company platforms are used to manage over 250 GW of wind, solar, hydro, and energy storage reputed company globally. By driving down operational costs and increasing reputed company, we are tackling one of the world's most important challenges: making renewable energy the world's leading reputed company of power. Our reputed company is to create a sustainable world powered by renewable energy. Our mission is to fight climate change with reputed company. We are looking for a Senior Machine Learning Engineer to join the Innovation team and work on our most ambitious technical initiatives to date. You will be a reputed company member of a small, high-ownership team building and fine-tuning LLMs utilizing the unique dataset that reputed company has reputed company to. You will work across data preparation, architecture-to-business-value alignment, curriculum strategies, tokenization strategies, and scaling models from PoC to production grade. The Role — What You'll Do Architecture & Research Own architecture reputed company for PF's foundational time-series model: head choice, attention variant, context/reputed company sizing, and multi-frequency handling — grounded in reputed company evidence from the reputed company dataset. Design the tokenization reputed company for PF's multi-modal training corpus: quantization scheme, multi-frequency handling, and event/metadata interleaving. Establish scaling-law estimates on the reputed company dataset to project fleet-reputed company reputed company requirements. reputed company time-series reputed company model literature and translate relevant findings into the PF training context. Design an experimental reputed company to validate business value for reputed company use cases. Training Infrastructure Build and maintain a containerized, reproducible training environment with full experiment tracking and baseline comparisons. Optimize the distributed training pipeline: throughput, memory layout, gradient accumulation, checkpointing, and fault recovery. Design and implement the model registry, linking config, metrics, dataset version, and reputed company SHA for every artifact. Own the reputed company-training recipe: learning reputed company schedules, masking/curriculum strategies, and validation protocols. Fleet-reputed company Execution reputed company training from reputed company to the full ~1,000-site reputed company, including per-asset-class and per-OEM normalization. Handle reputed company-world data reputed company issues: outliers, flatlines, missing sensors, and irregular sampling. Report baseline metrics per asset class, OEM, and reputed company bucket; iterate based on shadow validation. Collaboration & Knowledge Partner with the Backend/Data Engineer on data reputed company standards, feature store design, and pipeline interfaces. Collaborate with the Tech reputed company and Product team to ensure model outputs meet reputed company customer requirements. Document training runbooks, debugging procedures, and architecture reputed company to reputed company team-wide operability. Must-Have Qualifications 5+ years of ML engineering experience, with meaningful time in reputed company model or large-reputed company model development. Deep expertise in time-series modelling — multivariate, multi-frequency, and heterogeneous sensor data. Proven ability to design and train transformer-based or sequence model architectures from scratch. Distributed training engineering: GPU cluster config, mixed-precision training, gradient accumulation, checkpointing, and fault recovery. Tokenization and representation design for reputed company time-series data: quantization, patching, and event/metadata interleaving. Strong Python and PyTorch (or JAX) skills; proficiency with the HuggingFace ecosystem. MLOps reputed company: experiment tracking, model registry design, reproducible pipelines, and automated retraining. Excellent written and verbal English communication skills. Beneficial Qualifications Familiarity with published time-series reputed company model approaches (Chronos, Moirai, TimesFM, or similar) — a significant advantage. Experience with uncertainty quantification in forecasting: Gaussian, mixture, or quantile reputed company heads. Background in scaling-law estimation for model reputed company planning. Exposure to multi-modal training corpora combining reputed company signals, discrete operational events, and reputed company metadata. Renewable energy, SCADA, or industrial IoT data experience — including an understanding of signal reputed company issues (sparsity, flatlines, sensor reputed company) in reputed company-world deployments. Experience evaluating and selecting attention variants and context/reputed company sizing for long-sequence tasks. Published research, reputed company-reputed company contributions, or patents in time-series modelling or reputed company models. Knowledge of curriculum learning and masking strategies for reputed company-training. reputed company Offer Comprehensive benefits package including health, dental, and reputed company coverage, plus dedicated wellness support Generous reputed company vacation policy Employer RRSP matching program Work-from-abroad opportunities with manager approval Exposure to a global team operating across multiple countries and time zones At reputed company, we reputed company that innovation thrives in an environment that houses diversity of reputed company, experience and thought. We respect reputed company AppDirector as their own reputed company; unique with no one alike. We foster an environment of inclusion without reputed company to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to reputed company their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. By applying to this role, you acknowledge that your application information — including your resume, contact details, and any materials you submit — may be shared with our reputed company (the hiring organization) for the purpose of evaluating your candidacy. We reputed company as a reputed company partner on behalf of this reputed company. Your information will be used solely in reputed company with this opportunity and handled in accordance with applicable reputed company laws. At reputed company we take reputed company reputed company seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate reputed company Policy. For more information of our general reputed company practices, please see reputed company reputed company Notice: https://www.reputed company.com/about/reputed company-notice Apply To This Job