Machine Learning Engineer
United States
Applications have closed
Logikcull
Logikcull is a cloud-based eDiscovery solution trusted by hundreds of legal teams to automate discovery and legal holds for disputes, subpoenas, investigations, and more.
What we need:Every week millions of documents are ingested, processed, and reviewed in Logikcull. And every week the amount of data our customers need to sift through grows faster and faster.
We have big plans to revolutionize how our customers search and review documents in Logikcull. From automatically detecting sensitive data in their documents over suggesting review actions based on previous actions to automatically detecting and culling documents that are pure noise.
If you love working with large amounts of data and extracting and presenting insights from large data sets you might be a good fit for the data engineering team at Logikcull.
Come grow your engineering skills and help build a high-impact team.
Who you’ll work with: You will be working with a growing team of engineers and analysts. The team will be your source of information, inspiration and insights into everything that is Logikcull. This group is the core data group for the company, having eyes on not only incoming data for multiple systems but also creating value through reporting and features directly to the customers. Outside the core team, you will also be interacting with engineers from our frontend, infrastructure and processing teams to be able to bring your models to life.
Logikcull is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military, and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law. All employment is decided on the basis of qualifications, merit, and business need.
We have big plans to revolutionize how our customers search and review documents in Logikcull. From automatically detecting sensitive data in their documents over suggesting review actions based on previous actions to automatically detecting and culling documents that are pure noise.
If you love working with large amounts of data and extracting and presenting insights from large data sets you might be a good fit for the data engineering team at Logikcull.
Come grow your engineering skills and help build a high-impact team.
Who you’ll work with: You will be working with a growing team of engineers and analysts. The team will be your source of information, inspiration and insights into everything that is Logikcull. This group is the core data group for the company, having eyes on not only incoming data for multiple systems but also creating value through reporting and features directly to the customers. Outside the core team, you will also be interacting with engineers from our frontend, infrastructure and processing teams to be able to bring your models to life.
What you'll do:
- You will implement and support machine learning-assisted features in our product
- You will help define and develop our machine-learning architecture
- You will help develop some of the models that drive our machine-learning features
- You will be an active participant in our data engineering team
What we’re looking for (you!):
- You have at least 3 years of experience with machine learning
- You have a practical understanding of machine learning models and experience selecting the correct model for a task
- You have experience evaluating the performance of machine learning models and the trade-offs involved
- You have demonstrable experience using python to deploy and run machine learning processes in a production environment
- You have experience building and deploying machine learning models using textual data
- Experience with distributed compute (Dask, Spark or similar)
- Experience with pipeline orchestration tools (Airflow, Prefect, Step Functions etc.)
- Bonus - Experience with automated model training and selection
- Bonus - Experience with AWS machine learning products (SageMaker, Comprehend etc.) is a plus
- You’re comfortable and efficient in a Linux environment
- You’re pragmatic and practical and understand that building a startup requires a constant balancing of competing priorities and weighing of risks and outcomes while setting project roadmaps
- You’re willing to participate in our on-call rotation
Logikcull is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military, and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law. All employment is decided on the basis of qualifications, merit, and business need.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Engineering Linux Machine Learning ML models Model training Python SageMaker Spark
Perks/benefits: Career development Startup environment
Region:
North America
Country:
United States
Job stats:
5
2
0
Categories:
Engineering Jobs
Machine Learning Jobs
More jobs like this
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 MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs