Machine Learning Engineer

Altamira Dayton , OH 45401

Posted 2 months ago

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

We focus on recruiting talented, self-motivated employees that strive to find a way to get things done. Join our team of experts as we engineer national security!

Altamira is searching for a Machine Learning Engineer with an active TS/SCI security clearance, to support our growing work with a government customer in Dayton, Ohio

The machine learning engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources. Develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Improve upon current methods for the automated processing and exploitation of large data sets. Perform R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to classify extracted elements.

Required Qualifications

  • 3+ years in machine learning

  • Degree in a quantitative field such as Computer Science, Physics, Statistics, or related fields is preferred

  • A working knowledge of deep neural networks (DNNs)

  • Experience in applying core Machine Learning methodologies: Regression, Naive Bayesian classifier, Clustering, Matrix

  • Factorization, k-Nearest Neighbors, Natural Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep Learning

  • Strong written and verbal communication skills

  • Strong programming skills in at least one of the following languages Python, Matlab, C++

  • Must be a U.S. Citizen

Desired Qualifications

  • Machine Learning, Natural Language Processing, Computer Vision or equivalent experience

  • A mathematical background (Probability and Statistics)

  • An experienced grasp of version control, branches and git in particular

  • Thorough understanding of working in development, staging and production environments

  • Advanced degree (MS/PhD) in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired

  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus

Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Machine Learning Modeler

UES

Posted 1 week ago

VIEW JOBS 8/16/2019 12:00:00 AM 2019-11-14T00:00 UES, Inc. has an opportunity available for a Machine Learning Modeler to join our team to lead efforts in developing models from rich manufacturing-related datasets toward development of process-performance relationships. Automation in manufacturing has led to tremendous improvements in productivity. While many manufacturing methods are repeatable and predictable enough to automate, others (e.g. 3D printing, machining, brazing) are more dynamic and require a more complex combination of model-free and model-based simulation and analysis techniques. Modern manufacturing and characterization platforms provide data streams with the potential to more intimately link digital design with direct or indirect measurement of materials processing and component quality. To realize the full value of the data from design tools and manufacturing tools, validated and catalogued data must be analyzed to provide predictive capability of a manufacturing process. Functions for this role will include: * Appling machine learning (ML) and/or physics-based models to data collected during variety of manufacturing processes (additive manufacturing, spray processes, subtractive machining approaches) for insight into complex manufacturing, materials, chemistry phenomena. * Working with process engineers to facilitate the collection of meaningful data to build models that improve and/or detect changes in processing. * Supporting database engineering team to integrate models and simulation results into database platform for future analysis or use with ML techniques. * Working with subject matter experts in materials and processing research teams to incorporate physical meaning and validation into data driven models. * Providing regular communication and feedback to the team to advance autonomous robotic manufacturing. * Engaging with the academic community by writing papers, giving seminars, and leading workshops. Requirements: * B.S./M.S. degree in computer science, physics or related engineering field of study. * Strong programming skills (Scala, Java, C++, and/or Python preferred) * Experience or coursework in machine learning and/or statistics * Background in database querying (SQL, Access, etc.) * Demonstrated oral and written communication skills * This position is working within a government facility and requires U.S. Citizenship Preferred Qualifications: * M.S. or Ph.D. degree in computer science, engineering, physics or related field of study. * Experience applying machine learning in the materials and manufacturing community. * Experience in data science, to include data acquisition, cleansing, aggregation, analysis, and ontology * Knowledge of uncertainty quantification methods (Bayesian methods, confidence intervals, probabilistic graphical models) Additional Information UES, Inc. is an innovative science and technology company providing customers with superior research and development expertise since its inception in 1973. Our long-term success is a direct result of a strong commitment to the success of our employees. We look forward to reviewing your application. UES, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions. UES Dayton OH

Machine Learning Engineer

Altamira