Machine Learning Scientist
Remote Canada or Remote Israel
Ada
Replace basic conversational chatbots with Ada’s AI chatbot . Onboard, measure, and coach a top-performing AI Agent to resolve over 70% of customer service inquiries.As a Machine Learning Scientist within our R&D organization you will design, experiment, and deploy data science solutions that will be integrated into Ada’s product. You will work closely with Product Designers, Engineers and other ML Scientists to create delightful and impactful experiences for millions of customers.
We're looking for someone who is passionate about data science and about contributing to a world-class customer service automation platform. You will be expected to develop product features involving machine learning, and will be responsible for writing data pipelines, modelling and experimentation all the way through to deployment. You will also get the opportunity to contribute to improving the team's data science and ML engineering practices.
About You
- Proven industry experience with Generative AI
- 2-5 years of industry experience
- Master or PhD in Machine Learning or a related field is preferred
- Interested in Applied ML Science that includes optimization and R&D for AI-first production systems
- Excellent understanding of Machine Learning principles. Preferably worked on natural language processing (NLP) problems before but not required
- Experienced in designing and tracking efficient and thorough data science experiments
- Robust software and data engineering practices
Outcomes
- Execute on our ambitious machine-learning product roadmap through the implementation of features
- Help identify areas of opportunity and innovation within our product
- Increase the business value that Ada brings to our customers by bringing innovative research projects into production
Benefits
- Competitive salary and generous stock option plan
- Unlimited vacation
- Wellness account
- Extended health coverage
- Dental/optical/travel insurance
- Life insurance
- Employee and family assistance plan
Perks
- Flexible work schedule
- Remote-first, In-person friendly work environment with WFH budget
- Paid parental leave for Canadian residents
- Development opportunities
The expected salary range for this position is $117,000 to $180,000. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.
#LI-NS1
About Us
Ada is a rapidly growing company in a thriving AI ecosystem. We optimize our communication, collaboration, and work ethic for the digital world instead of in-person. We are building the workplace of the future to build the customer experience of the future. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role. We are backed by world-class investors, including Spark, Accel, FirstMark, Bessemer Venture Partners, and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company.
We believe that unchecked biases disproportionately impact the most marginalized people in society—including but not limited to BIPOC, LGBTQ2S+ people, immigrants, and people with disabilities. We strongly encourage applications from people with these identities or other marginalized communities, even if you don’t meet every qualification we listed, because members of marginalized communities are less likely to apply if they don’t meet every qualification. We believe that without you, we cannot progress. At Ada, we don’t stand for tokenism. We stand for representation.
Our values are our fundamental driving forces for decision-making. They are the heart of what we stand for and are critical to our next phase of growth. You can learn more about our values and Ada’s founding story on our Careers page.
Everyone has their own unique talents. Even if you don’t meet 100% of the above qualifications, tell us why you’d be a great fit for this role in your application.
Tags: CX Data pipelines Engineering Generative AI Machine Learning NLP PhD Pipelines R R&D Research Spark
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Parental leave Travel Unlimited paid time off
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs