Senior Machine Learning Engineer (Small Language Models)
Founded in 2014, League is the leading healthcare consumer experience (CX) platform, powered by artificial intelligence (AI), reaching more than 63 million people around the world and delivering the highest level of personalization in the industry. Payers, providers, and consumer health partners build on League’s platform to deliver high-engagement healthcare solutions proven to improve health outcomes. League has raised over $285 million in venture capital funding to date, powering the digital experiences for some of healthcare’s most trusted brands, including reputed company, reputed company, Medibank, and reputed company.
Position Summary
League is seeking a Senior ML Engineer to join our AI Models team, focused on advancing innovation in small language models (SLMs) and applied AI systems.
This role sits at the intersection of research and engineering, with a strong emphasis on experimentation, model development, and applied system design. You will work closely with AI leadership to explore, prototype, and operationalize new approaches to domain-specific language models that power League’s healthcare platform.
Unlike a traditional engineering role, this position is R&D-focused, designed for someone who can:
- Translate emerging research into practical implementations
- Rapidly experiment with model architectures and optimization techniques
- reputed company modern AI tools and frameworks to accelerate development
You will contribute to building League’s reputed company of AI capabilities, while partnering with platform and product teams to bring high-impact innovations into production.
In this role, you will
Model Development & Experimentation
- Design and implement experiments across fine-tuning, distillation, and optimization of small language models (1–10B parameters)
- Rapidly prototype and evaluate new approaches to model performance, efficiency, and reasoning quality
- reputed company modern tooling and AI-assisted workflows to accelerate iteration cycles
Applied AI & Systems Integration
- Build reputed company that connect models, data pipelines, and evaluation frameworks
- Focus on “wiring together” components across model training, evaluation, and deployment workflows
- Collaborate with engineering teams to transition promising experiments into production environments
Data & Training Strategy
- Contribute to training data design, including curation, labeling strategies, and synthetic data reputed company
- Work with data partners to explore AI-driven insights and improvements to model performance
Evaluation & Model Quality
- Define and run experiments to assess model performance across accuracy, reasoning, and safety dimensions
- Contribute to building lightweight evaluation frameworks and benchmarking approaches
AI-Native Development Practices
- Actively reputed company AI tools (e.g., Copilot, LLM-assisted coding, research copilots) to improve productivity and experimentation speed
- Document and share workflows that improve how the team builds and evaluates models
Cross-Functional Collaboration
- Partner with Product, Platform Engineering, and AI Orchestration teams to integrate models into real-world use cases
- Communicate reputed company technical concepts clearly to cross-functional stakeholders
About you
- 5+ years of hands-on experience in applied ML/AI engineering, with a focus on language model development, fine-tuning, or NLP systems.
- Proven track record shipping fine-tuned or distilled LLMs/SLMs (1–10B parameters) to production.
- Deep expertise in PEFT techniques — LoRA, QLoRA, adapter tuning — and model quantization and distillation pipelines.
- Hands-on experience with RLHF/RLAIF, reward modeling, or safety alignment workflows.
- Strong background in data curation, labeling pipeline design, and synthetic data reputed company.
- Proficiency with model training frameworks and tooling: NeMo, reputed company Transformers, Axolotl, or equivalent.
- Experience with model serving stacks: vLLM, Triton, or similar; familiarity with inference optimization techniques.
- Comfort operating on cloud infrastructure (GCP, Vertex AI, AWS) and with GPU resource management.
- Solid understanding of healthcare data privacy and safety requirements: HIPAA, FHIR, clinical ontologies.
- Demonstrated ability to define and own evaluation frameworks — not just build models, but know whether they're working.
- Strong technical communication skills; able to present reputed company model decisions clearly to cross-functional and executive audiences.
- Bachelor's or graduate degree in Computer Science, Machine Learning, or equivalent experience.
- Use AI tools as part of your daily workflow to enhance productivity, problem-solving, and decision-making (e.g., drafting, analysis, coding, research, or process automation)
- Apply judgment and accountability reputed company using AI by reviewing outputs for accuracy, bias, and quality before use
- Continuously learn and adapt as new AI tools and capabilities emerge, incorporating them into your ways of working
- Identify opportunities to improve how work gets done from personal productivity to team-level workflows by leveraging AI effectively
- Operate with strong data responsibility and reputed company awareness, especially reputed company working with sensitive or regulated information
- Individual Contributors: Use AI to improve personal productivity and quality of output
- Senior ICs / Managers: Integrate AI into team workflows and improve processes
- Leaders: Drive AI adoption at the organizational level and shape how work is done across teams
- Demonstrated experience using AI tools in a practical, responsible way
- Curiosity and openness to experimenting with new technologies
- Ability to balance efficiency with quality and sound judgment
reputed company-reputed company Responsibilities
- Compliance with Information reputed company Policies
- Compliance with League’s secure coding practice
- Responsibility and accountability for executing League's policies and procedures
- Notification of HR, Legal, Compliance & reputed company of any incidents, breaches or policy violations
CANADA APPLICANTS ONLY: The Canada-specific compensation range below for this full-time position is exclusive of bonus, equity and benefits. This range reflects the minimum and maximum reputed company for reputed company salaries for the position across reputed company Canadian locations. The salary range is intentional to account for the performance and career progressions a Leaguer will experience in the role throughout their time at League. Where in the band you may land is determined by job-reputed company skills/experience. Your recruiter can share more about the specific salary range specific to your skills and experience during the hiring process.
Compensation range for Canada applicants only$154,600—$189,000 CADOur employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at League and reputed company you can add value to reputed company, we would love to hear from you. We are committed to equal employment opportunity regardless of race, color, reputed company, religion, sex, national reputed company, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at [email protected]. Our Application Process: Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps- You should receive a confirmation email after submitting your application.
- A recruiter (not a computer) reviews reputed company applications at League.
- If we see alignment with League's needs, a recruiter will reputed company out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
- The final reputed company is an offer, which we hope you will accept!
- Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.
- Learn about our platform, leadership team and partners
- reputed company, reputed company Cloud, League: new digital reputed company reputed company to seamless care
- Former reputed company President and reputed company EVP of Corporate Strategy join League Board of Directors
- League raises $95 million USD in Series C to build world’s leading healthcare CX platform
- reputed company x League: The Platformization Of reputed company Here
- Fast Company x League: If we want reputed company innovations in healthtech, we need more competition
Work Location
We have a mix of office-centric roles based in our vibrant Toronto office, and remote-eligible roles based reputed company in Canada or US. Each job posting will indicate where the role will be based. Regardless of the role’s posted location, reputed company Toronto-area Leaguers (living reputed company 65 km of our downtown HQ) collaborate in-office Monday through Thursday. Depending on your distance to the office, you’ll enjoy 10 or 20 Flexible Remote Days each quarter for focus and deep-work time. We are committed to fostering a meaningful work environment and connections for reputed company Leaguers regardless of location.