Team Lead, AI Software Engineering
1 week ago
ARE YOU INTERESTED IN A WORKPLACE THAT HAS...
Remote Work Environment
Personal Spending Account
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)
Summer Hours
Start your weekend earlier during the summer months
17 Paid Days Off (in addition to 13 Personal Days)
This includes an extra day off during the month of your birthday - our gift to you
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen
HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
Read about ushere(spoiler alert... we are the home of The Weather Network )
WHY WE NEED YOU? GLAD YOU ASKED...
Pelmorex seeks an experienced generalist AI Software/Research Engineer with expertise in Deep Learning Weather Prediction (DLWP), forecast verification, software engineering, and ML Ops to help transform our research organization and tackle hard problems in forecasting and climate science. This is an opportunity to have a large impact on the future of forecasting, and would be the perfect fit for an experienced professional who wants to shape the industry. This position will report to the Director of Meteorological Engineering.
This is a remote position and we are only considering candidates in Canada. The role requires working East Standard Hours.
WHAT'S THE DAY TO DAY LIKE?- Ideate, project manage, and execute against DLWP research tasks.
- Manage the "buy or build" question as it relates to adopting and adapting open source DLWP models.
- Train, verify and deploy DLWP models on enormous amounts of data using SOTA on-prem and cloud accelerators.
- Champion technical designs, recruit feedback, code and configure, project manage, and document ML systems, data, and pre/post processing pipelines.
- Mentor and lead meteorologists, climatologists, data scientists, and software engineers.
- Help the engineering organization transition to "AI first".
- Bring a production software mindset to research and development tasks.
- Conduct and solicit code reviews.
- Create a culture of inclusivity, psychological safety, honesty, and vulnerability.
- Coordinate roadmaps with key product and research stakeholders.
- Physical Effort: No physical effort required.
- Business Travel: Infrequent travel to Oakville, Canada, may be required.
- 7+ years of professional experience.
- At least 1 year of formal leadership experience, or clear demonstration of leadership interest and abilities, including strong interest in teaching and mentorship.
- Coursework or published research in weather/climate forecasting, artificial intelligence, or both.
- Experience with all parts of the AI lifecycle, including training and deploying data-hungry deep learning models in a commercial context.
- Scientific Python: Xarray, Dask, Numpy, Scipy, Pandas, Scikit-learn.
- ML Python: JAX, Haiku, PyTorch, TensorFlow, Caffe, Keras.
- Low-level memory management frameworks: OpenMPI, CUDA, XLA.
- Debugging skills: training and learning/loss dynamics, time/memory/utilization profiling, multi-process debugging, and log management.
- Distributed training experience: muti-node, multi-accelerator environments.
- Knowledge of modern DL architectures and how they apply to weather/climate prediction problems.
- Coding: Object Oriented Programming, Design Patterns, multithreading/processing, git, code profiling, debugging.
- Cloud: Airflow/Dagster, Kubernetes, Helm, Terraform, Kubeflow, container registries, CI/CD, log management, data version control.
- Linux: process management, telemetry, IO, bash scripting, environment configuration.
- Traditional NWP/HPC experience a plus: WRF, MPAS, OpenMP, Slurm, Parallel Cluster, OpenACC, Infiniband, Fortran.
- Grib, NetCDF, Arrow IPC, Parquet, Zarr and supporting libraries (Eccodes, Xarray, etc).
- Spatial and temporal interpolation techniques.
- Knowledge of forecast and climate models, parameters, and verification techniques.
- Communication, presentation, project management, including technical writing and design skills.
- Influential: leverages personal and team experience to guide decision making diplomatically and effectively.
- Optimistic, open minded, inclusive.
- Think "at scale": default to documentation, automation, source control, force multiplication, etc.
- Have hands-on DLWP experience with one/some of: GraphCast, MetNet, ClimaX, FourCastNet, SEEDS, GenCast, Pangu Weather, FuXi, WeatherBench, CorrDiff, ...
- Course Reimbursement Program We want you to keep learning, so we can too
- Open and transparent communication, including All Hands Meetings with our CEO
- Pelmorex Learning Academy includes offerings like French, Leadership (for people leaders and non-leaders alike), yoga, mindfulness
- Your mental health is important to us We partner with Inkblot for virtual counseling sessions
- Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work
- Free online doctor visits with Maple Online Healthcare
- While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up We have an anonymous reporting platform (Speakfully) to ensure everyone's voice is heard
OUR PROMISE TO YOU...
We're highly focused on doing the right thing.
We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We're a team that enjoys learning new technologies and we're open to trying new things
We'll try our best not to bog you down with boring meetings
Through constant innovation and entrepreneurship, Pelmorex has grown to reach consumers around the globe, has become one of the largest weather information providers and has broken new ground in providing data solutions and insights to businesses. Through harnessing the value of weather, Pelmorex is driven to make the world smarter and safer for consumers and businesses. #youwanttoworkhere
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