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Data Science and Machine Learning Engineer

San Francisco - California; Toronto - CA; Water Street - New York

At Real Chemistry, making the world a healthier place isn’t just an aspiration—it’s our everyday reality. Our drive to transform healthcare is informed by our blend of deep scientific expertise, human-centred creativity, and AI-driven insights, fostering a unique environment where innovation thrives and our people are impact-obsessed. As a global agency, we provide a full suite of services across healthcare communications and marketing to our clients, including top players in the pharmaceutical and biotech industries.

Our #LifeatRealChem culture is rooted in our people—we believe we are best together and are committed to excellence for both our clients and colleagues. Whether you're a seasoned professional or just starting your career, if you share our passion for healthcare and connection, we invite you to explore our opportunities.

Discover your purpose. Embrace innovation. Experience #LifeatRealChem.

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 

Machine Learning Model Development 

  • Build, train, test, and optimize models using supervised, unsupervised, and generative techniques. 

  • Develop features, evaluate model performance, and implement scalable ML pipelines. 

AI Experimentation & Research 

  • 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. 

End-to-End ML Pipeline Execution 

  • 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. 

MLOps Implementation 

  • 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. 

Cross-Functional Collaboration 

  • 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. 

Production Deployment 

  • Deploy models to cloud environments (AWS, Azure, GCP) using containerization, APIs, and orchestration tools. 

  • Maintain reliable, scalable, and low-latency inference environments. 

Responsible AI & Quality 

  • Ensure models follow ethical AI standards, data governance requirements, and organizational 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. 

Posting Salary

$165,000 - $200,000 USD

Real Chemistry is proud to be Great Place to Work® certified; check out what our people shared about our culture and workplace on our Great Places to Work Profile here.

We believe we can do our best when feeling our best, which is why we’ve put together a benefits program designed to give you the support you and your family need at every stage of life. Real Chemistry offers a comprehensive benefit program and perks, tailored to your region. Globally, this includes offices in our key markets with free snacks to keep you running all day long, generous holiday and paid time off, options for private medical, dental, and vison plans, and support in saving for the future. Other perks include mental wellness coaching and support and access to more than 13,000 online classes with LinkedIn Learning.  Learn more about our great benefits and perks and search specific offerings in your region at: www.realchemistrybenefits.com.

Working with Real HART: Since the pandemic, we have adapted to how our people told us they want to work. We have office locations in cities in the US, UK, and Europe with many employees and clients that serve as hubs where and when they need us. For employees who are within an hour of one of our offices, we expect attendance in the office two days per week, either at a Real Chemistry office or onsite with clients. We are also actively opening new office locations, so if one opens near you, our Real HART policy will apply. We are not looking for attendance for the sake of attendance but believe that the opportunity to coordinate in-office team meetings, 1:1 meetings with managers, taking advantage of on-site learning, and connecting with client partners is a critical to delivering on our purpose of making healthcare what it should be. Outside of these offices, we have regions, where people work remotely but come together quarterly for collaboration, culture and learning opportunities. We call this our Real Hybrid and Regional Teams (Real HART) approach. Real Chemistry believes we are best together – and our workplace strategy fosters connection and collaboration in person – but also supports flexibility for our people.

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.

*Notice: Real Chemistry and its affiliates' names are being misused by scammers through messaging services, fake websites, and apps. Do not share personal or financial information or make payments to any unverified sources claiming to be connected to Real Chemistry. We are working to stop these unauthorized activities and protect our community. Read more here.

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