Senior Tech Lead Manager, Model Efficiency
Senior Tech Lead Manager, Model Efficiency
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Salary Not Disclosed
1 Vacancy
Job Description
Who are we
Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers.
Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role
The Model Efficiency team drives the optimization of Coheres base models through architectural innovations framework optimizations and compute efficiency improvements. As a Senior Tech Lead Manager of the Model Efficiency team you will spearhead technical strategy while leading a team of specialized engineers focused on maximizing inference throughput minimizing latency and optimizing model deployment across accelerator architectures.
As a Senior Tech Lead Manager Model Efficiency you will:
Architect comprehensive technical roadmaps with quantifiable performance metrics (TFLOP/s utilization memory bandwidth efficiency latency/throughput KPIs) aligned with product requirements and computational constraints
Identify and address technical competency gaps through strategic hiring of ML systems engineers with specialized expertise in model optimization quantization pruning and acceleratorspecific kernels
Demonstrate expertlevel understanding of ML accelerator architectures (GPUs TPUs custom ASICs) memory hierarchies and hardwareaware optimizations including tensor core utilization and parallel computation patterns
Lead critical technical decisions regarding inference frameworks (TensorRT ONNX Runtime PyTorch JIT etc.) quantization strategies (INT8/INT4/mixed precision) and operator fusion techniques based on rigorous benchmarking
Collaborate with MLOps infrastructure teams and ML researchers to define optimization requirements establish performance baselines and integrate optimizations into production systems
Implement agile methodologies for workload prioritization with emphasis on critical path optimization and resource allocation across concurrent optimization workstreams
Provide technical mentorship on systemslevel optimization approaches profiling techniques and hardwaresoftware codesign principles
You may be a good fit if:
3 years managing engineering teams with demonstrable impact on system performance metrics and team growth
Extensive experience with transformer architecture optimizations attention mechanism enhancements and KVcache optimization techniques
Proven track record implementing LLM inference optimizations such as continuous batching speculative decoding or decoderspecific memory optimizations
Deep technical expertise in at least one ML frameworks execution pipeline (PyTorch JAX TensorFlow) and corresponding compiler stack
Strong communication skills for translating complex technical tradeoffs into business impact metrics and explaining optimization strategies across technical domains
Demonstrated ability to build highperformance technical teams through targeted recruitment and growthoriented management practices
Proficiency managing dynamic technical priorities under shifting requirements while maintaining optimization momentum and team velocity
If some of the above doesnt line up perfectly with your experience we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing Cohere is the place for you.
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs.
FullTime Employees at Cohere enjoy these Perks:
An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend inoffice lunches & snacks
Full health and dental benefits including a separate budget to take care of your mental health
100% Parental Leave topup for 6 months for employees based in Canada the US and the UK
Personal enrichment benefits towards arts and culture fitness and wellbeing quality time and workspace improvement
Remoteflexible offices in Toronto New York San Francisco and London and coworking stipend
6 weeks of vacation
Note: This post is coauthored by both Cohere humans and Cohere technology.
Required Experience:
Manager
Employment Type
Full-Time
