Applied Machine Learning Scientist (Early Career)
Applied Machine Learning Scientist (Early Career)
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Job Description
This will be a remote role to start with plans to transition to hybrid in-office 2x/week located in downtown Toronto.
**Please note: We are unable to provide visa sponsorship at this time.
Why this role at OpenTable
OpenTable seats 25million diners each month across 60000 restaurants and taps into more than 20years of booking dataan ideal launchpad for an earlycareer ML scientist. In our tightknit team every experiment you run and every model you ship goes live quickly and at scale. Youll start with wellscoped projects and close mentorship then rapidly earn the freedom to pitch and implement research ideas that deliver measurable value for diners restaurants and the business. We celebrate agency speed and relentless experimentation balanced by disciplined prioritization rooted in ML expertise and realworld production and business constraints.
Responsibilities:
- Research & Productionise Prototype validate and deploy ML models that power search ranking recommendations pricing and conversational recommendation systems.
- Data Pipelines Build reliable pipelines in PySpark; ensure reproducibility lineage and monitoring.
- Experimentation Design online A/B tests define success metrics and analyse results to inform product decisions and areas of further experimentation.
- Tooling & Best Practices Contribute to internal ML libraries for training evaluation debugging and interpretation; champion code quality and reproducibility.
- Research Awareness Stay current with ML/RL literature and constantly evaluate new models
MustHave Qualifications:
- Education Recently completed BSc MSc or PhD in Computer Science Statistics Mathematics or a closely related technical field.
- Technical Skills
- Hands-on experience training tuning and debugging both classical models (e.g. GBDTs) and deep-learning models (primarily Transformers).
- Python proficiency and fluency with the scientific/ML stack: one of PyTorch/TensorFlow/JAX core libraries (NumPy Pandas scikitlearn) and at least one gradientboosting toolkit (XGBoost LightGBM or CatBoost).
- Strong command of algorithms data structures and objectoriented design.
- Applied ML Expertise
- Detecting & mitigating target leakage traintest temporal skew data drift and other common pitfalls in building production models.
- Translate business objectives into quantifiable ML metrics (e.g. MRR MAP precision/recall AUC F1 NDCG) and choose appropriate loss functions (e.g. PlackettLuce crossentropy focal loss) to optimise them.
- High Agency & Ownership Demonstrated ability to identify opportunities form hypotheses and drive projects that align with business objectives with minimal supervision.
- Communication & Collaboration Clear written/verbal communication and a collaborative mindset.
NicetoHave:
- Reinforcement Learning Handson RL experienceespecially finetuning LLMs toward verifiable objectives or applying RL/bandits in recommendation and rankingis a strong plus.
- Domain Expertise Background in learningtorank recommender systems conversational agents or NLP.
- Portfolio: Opensource contributions Kaggle medals blogs or peerreviewed publications that replicate and extend academic research.
- Production ML Ops Experience with Spark Airflow Docker/Kubernetes feature stores and model observability/monitoring.
OpenTable strives to provide a fair collaborative and balanced work environment.
Benefits and Perks:
- Generous paid vacation time off for your birthday
- Work from (almost) anywhere for up to 20 days per year
- Focus on mental health and well-being:
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to HeadSpace
- Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
- Paid parental leave
- Paid volunteer time
- Focus on your career growth:
- Development Dollars
- Leadership development
- Access to thousands of on-demand e-learnings
- Travel Discounts
- Employee Resource Groups
- Private health and dental insurance
- Life and Disability insurance
There are a variety of factors that go into determining a salary range including but not limited to external market benchmark data geographic location and years of experience sought/required. The range for this Toronto Canada based role is $120000-$150000 CAD.
We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO paid sick leave medical leave bereavement leave floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.
Diversity Equity and Inclusion
At OpenTable we aspire to be a workplace that fosters inclusion and reflects the diverse communities we serve. Hiring people with different backgrounds and perspectives is critical to innovation and to how we deliver great experiences for our users partners and teams. We strive to be an open and welcoming environment so that no matter who you are you can be yourself.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform job responsibilities and to receive other benefits and privileges of employment. Please contact us to request accommodation(s).
Employment Type
Full Time
