BigBear.ai is an industry leader in the development and deployment of innovative artificial intelligence and machine learning solutions. Our technology experts work to create products and services that enable organizations to adapt and succeed in today’s increasingly complex marketplace.
BigBear.ai offers an ever-growing suite of products and services that integrate seamlessly with existing systems and technologies. Our software development life cycle is designed to ensure an efficient infrastructure, delivering cost savings and improved customer relationships. The end result is a dependable, secure environment for collecting, organizing, and communicating with data, allowing businesses to make better informed decisions and remain competitive in the market.
Our skilled software engineers and tech specialists work collaboratively to combine innovative ideas with industry knowledge to develop AI and ML solutions that are tailored to each individual customer’s needs. We continuously refine our own proprietary technology with the help of state-of-the-art research laboratories to deliver robust, reliable, and customizable solutions.
Our team consists of experienced, skilled coders and data analysts who are well-versed in high-end computing technologies. Team members use a multitude of languages, such as Scala, Python, R, SAS, and Spark, to develop the best AI methodologies to tackle pressing business problems.
BigBear.ai is the perfect place to join if you are looking to take your career to the next level in AI and ML. With us, you can stay ahead of the curve, develop and implement cutting edge solutions, and tackle the most challenging problems.
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DevOps Engineer
Average Work Hours (weekly unless noted): 40-50
Average Salary (yearly in dollars unless noted): 90,000 - 120,000
Description: This position is responsible for monitoring BigBear.ai's AI-related infrastructures and ensuring they are built and maintained according to best practices. Key tasks include configuring, deploying, and managing the development, testing, and production environments; automating application release processes; and managing performance optimization.
Qualifications / Requirements: Relevant degree in computer science, mathematics, engineering, or a related field; experience with DevOps tools such as Jenkins and Docker; strong knowledge of cloud computing environments; excellent problem-solving and analytical skills.
Average Salary (yearly in dollars unless noted): 95,000 - 135,000
Description: This position is responsible for designing and developing various AI-related data models, algorithms, and applications in order to extract meaningful insights from BigBear.ai's data. Key tasks include analyzing and interpreting large data sets, identifying trends, testing data accuracy and integrity, and optimizing machine learning models.
Qualifications / Requirements: Relevant degree in computer science, mathematics, engineering, or a related field; experience with data science techniques, such as machine learning, artificial intelligence, data mining, and predictive analytics; strong technical knowledge, including programming and scripting languages such as Python, R, SQL, and Java; excellent communication, problem-solving, and analytical skills.
Average Salary (yearly in dollars unless noted): 75,000 - 100,000
Description: This position is responsible for building data pipelines that integrate and transform data from a variety of sources in order to make it available for analysis and reporting. Key tasks include developing, maintaining, and optimizing data flows, ETL processes, and data warehouses; performing quality assurance; monitoring performance and advising on new data strategies.
Qualifications / Requirements: Relevant degree in computer science, mathematics, engineering, or a related field; experience with programming and scripting languages such as Python, R, SQL, and Java; experience with data engineering tools such as Apache Spark and Hadoop; strong knowledge of data warehousing, data modeling, data architecture, and ETL processes; excellent problem solving and analytical skills.
Average Salary (yearly in dollars unless noted): 75,000 - 120,000
Description: This position is responsible for developing and maintaining a range of AI-related software applications and algorithms. Key tasks include designing and developing new software applications, optimizing existing applications, troubleshooting software issues, and performing unit testing.
Qualifications / Requirements: Relevant degree in computer science, mathematics, engineering, or a related field; experience with programming languages such as Python, R, C, C++, and Java; knowledge of software engineering principles and software development lifecycle; excellent problem solving and analytical skills.
Average Salary (yearly in dollars unless noted): 100,000 - 140,000
Description: This position is responsible for researching, evaluating, and implementing AI-based systems and technologies in order to drive innovation and business growth. Key tasks include designing and developing new algorithms and applications; organizing data sets; testing and monitoring performance; and providing technical solutions to complex problems.
Qualifications / Requirements: Relevant degree in computer science, mathematics, engineering, or a related field; experience with programming and scripting languages such as Python, R, SQL, and Java; excellent problem solving, analytical and research skills; knowledge of data science techniques such as machine learning, artificial intelligence, data mining, and predictive analytics.
Average Salary (yearly in dollars unless noted): 50,000 - 80,000
Description: This position is responsible for analyzing large data sets in order to identify trends and patterns, uncover hidden insights, and provide actionable recommendations. Key tasks include analyzing and interpreting data from a variety of sources, creating data visualizations, testing data accuracy and integrity, and developing data-driven strategies.
Qualifications / Requirements: Relevant degree in computer science, mathematics, engineering, or a related field; experience with programming and scripting languages such as Python, R, SQL, and Java; strong knowledge of data analysis tools and techniques; excellent problem-solving and analytical skills.
I never expected to find a company where I feel so fulfilled and part of a team, but Big Bear has exceeded my expectations. Everyone from the leadership team to my peers genuinely care about growing and learning. I specifically love that they take a hands-on approach in providing us the resources and support to think outside the box and come up with solutions that make a difference. Big Bear has provided me with an opportunity to make an impact, and I'm so grateful for it.
Bethany S.
Review Rating:
4.9/5
4.9
I've been working with BigBear AI for almost three years now and I truly enjoy it here. The culture is open and supportive, with a wide variety of initiatives and events to enrich learning. I'm someone who likes to stay up to date with the latest tech and the company has given me the resources to do so. Open communication and transparent approach to projects make the work environment very friendly.
David G.
Review Rating:
4.7/5
4.7
As a web developer, I'm always looking for ways to challenge myself and explore new technology. That's one of the many reasons I enjoy working for BigBear: the team leaders consistently give us the freedom to think and design outside the box. Plus, the team is always available to provide guidance and resources when we need it.
Rose B.
Review Rating:
4.9/5
4.9
I'm a designer for Big Bear and so far, I'm extremely impressed with the working culture. Everyone is supportive and open to new ideas. I love that Big Bear values collaboration and creativity, two traits that are essential in this line of work. I look forward to learning new skills and growing with this to help take the company further.
Jordan K.
Review Rating:
4.7/5
4.7
As a data scientist at BigBear, I've gained invaluable experience working on real-world projects. My tech skills have improved considerably, and I've been able to develop key software solutions. The team always provides helpful feedback to help get the job done. My experience here has been unforgettable, and I'm proud to be part of this organization.
Frequently Asked Questions
What type of job positions does BigBear.ai offer?
BigBear.ai offers technical positions including software engineers, data scientists, machine learning engineers, research engineers and DevOps engineers.
What qualifications are needed to work at BigBear.ai?
Applicants should have a degree in Computer Science accompanied with experience or knowledge in software engineering, data science or related fields.
What is the interview process like at BigBear.ai?
BigBear.ai typically conducts tech screenings, followed by a technical interview and then a final interview with the hiring manager.
What benefits does BigBear.ai offer?
BigBear.ai offers a comprehensive benefits package to its employees which includes medical, dental and vision insurance, financial wellness programs and other perks.
What is the culture like at BigBear.ai?
At BigBear.ai, we are committed to creating a culture of innovation and collaboration. We promote a diverse and inclusive workplace and strive to foster a work culture where everyone can thrive.
Locations: Berlin, London, Madrid, Paris, Prague, Rome, Tokyo
Career Paths: Software Engineer, Data Scientist, Machine Learning Engineer, AI Researcher, DevOps Engineer, Cloud Architect, Quality Assurance Engineer, Technical Support Engineer, Security Engineer, Product Manager
I never expected to find a company where I feel so fulfilled and part of a team, but Big Bear has exceeded my expectations. Everyone from the leadership team to my peers genuinely care about growing and learning. I specifically love that they take a hands-on approach in providing us the resources and support to think outside the box and come up with solutions that make a difference. Big Bear has provided me with an opportunity to make an impact, and I'm so grateful for it.
BigBear.ai offers technical positions including software engineers, data scientists, machine learning engineers, research engineers and DevOps engineers.
What qualifications are needed to work at BigBear.ai?
Applicants should have a degree in Computer Science accompanied with experience or knowledge in software engineering, data science or related fields.
