Lightcast
Moscow, ID
201-500 employees
Illuminating the future of work and moving forward with clarity, using the world’s best data-driven talent strategies.
Other Open Roles
Prior Listings
- Machine Learning Engineer/MLOps Engineer
- Director, Data Analytics & Product
- Research Analyst
- Data Product Manager
- Data Engineer, Web Scraping
- Data Analyst
- Machine Learning Engineer - NLP
- Senior NLP Data Scientist
- Data Scientist I
- Data Scientist
- Data Quality Analyst
- Data Analyst
- Senior Data Scientist - NLP
- Data Engineer
- Linguistic Data Analyst
- Research Analyst
- Senior Research Analyst
- Research Analyst Intern (Summer 2023 )
- Senior Data Engineer
- Research Analyst
Machine Learning Engineer/MLOps Engineer
Machine Learning Engineer/MLOps Engineer
This job is no longer open
At Lightcast, Machine Learning Engineers improve the efficiency of our data science capabilities by implementing tooling and pipelines that automate the training, testing, and deployment of data science models. ML Engineers work to leverage and scale the business by applying software engineering techniques and principles to data science work. Machine Learning Engineers work with the team to build end-to-end data science and machine learning systems and deploy the models to our APIs. Machine Learning Engineers collaborate with Software Engineers, Systems Engineers, and Hardware Engineering teams across the company.
Core Responsibilities
- Implement, use and promote the use of experiment tracking systems to ensure that model performance is reproducible, observable, and debuggable
- Develop and implement scalable and efficient model training workflows on large-scale datasets to address various business problems using sophisticated statistical modeling, machine learning techniques
- Write and test pipeline code for developing and validating ML models, and automating tests and deployment.
- Develop workflows for debugging model performance
- Develop transient large-scale computing clusters, where appropriate, for model training using infrastructure-as-code and the cloud.
- Coordinate with cross-functional teams on new ideas ensuring consistency across the platform.
- Perform other duties as assigned.
- Adhere to Company’s core values.
Credentials and Experience
- Bachelor’s degree or above in Data Science, or a field with a strong quantitative and analytic focus (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related fields).
- 3 - 5 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.
#LI-Remote
This job is no longer open