Data Science and Machine Learning Engineer New San Francisco - California; Toronto - CA; Water [...]
1 Days Old
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Job Summary
We’re seeking a hands‑on AI /Machine Learning Engineer to design, build, and deploy AI/ML models that power our products and solutions. This role sits within our AI organization and focuses on applied machine learning, model development, experimentation, and production‑level implementation. You’ll collaborate with data engineers, product managers, and other technical teams to translate business problems into scalable, high‑impact AI solutions.
Key Responsibilities
Build, train, test, and optimise models using supervised, unsupervised, and generative techniques.
Develop features, evaluate model performance, and implement scalable ML pipelines.
Explore new modeling approaches and emerging AI techniques, including LLMs, RAG frameworks, and agent‑based systems.
Run experiments, track results, and iterate based on findings.
Support the full lifecycle of ML development: problem framing, data exploration, model training, deployment, and monitoring.
Build reusable components for data preprocessing, model training, and inference.
Implement CI/CD for ML workflows, including automated training, testing, deployment, and monitoring.
Set up observability for models, including drift detection, performance monitoring, and alerting.
Work with product managers, data engineers, and business partners to understand requirements and translate them into technical ML solutions.
Present technical findings and model insights in a clear and practical way to non‑technical stakeholders.
Deploy models to cloud environments (AWS, Azure, GCP) using containerisation, APIs, and orchestration tools.
Maintain reliable, scalable, and low‑latency inference environments.
Ensure models follow ethical AI standards, data governance requirements, and organisational compliance guidelines.
Document assumptions, dependencies, limitations, and validation methods.
Qualifications & Skills
Education & Experience
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
3–7 years of applied experience in data science, ML engineering, or AI model development.
Technical Skills
Proficiency in Python and deep experience with ML frameworks such as TensorFlow, PyTorch, Scikit‑learn, or Keras.
Hands‑on experience developing and deploying ML models in cloud environments (AWS, Azure, GCP).
Strong experience with SQL and data manipulation.
Familiarity with generative AI models (LLMs), RAG pipelines, vector databases, and embeddings.
Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, or Kubeflow.
Strong foundation in statistical analysis, experimentation (A/B testing), and model evaluation techniques.
Soft Skills
Ability to explain technical concepts to non‑technical audiences.
Strong analytical mindset and problem‑solving skills.
Comfortable working in a fast‑paced, collaborative environment.
Preferred Qualifications
Experience developing AI/ML solutions in healthcare, life sciences, biotech, or commercial/marketing analytics.
Exposure to agentic AI systems or multi‑step AI tool frameworks.
Salary Range
$165,000 - $200,000 USD
Real Chemistry is an Equal Opportunity employer. We continually strive to build and sustain an inclusive and equitable work environment where our employees feel empowered to leverage all they bring from their personal lived experience and professional expertise, to make our team the best in the industry. We encourage motivated and qualified applicants to apply without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity/expression, ethnic or national origin, age, physical or mental disability, genetic information, marital information, or any other characteristic protected by federal, state, or local employment discrimination laws where Real Chemistry operates. Should you require accommodations throughout the interview process please let your recruiter know.
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- Location:
- San Francisco
- Category:
- Engineering
