Software Engineering Intern at Charles River Analytics

Cambridge, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

30.0

Posted On

07 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Artificial Intelligence, Natural Language Processing, Probabilistic Modeling, Cyber Security, Data Analytics, Algorithms, Optimization, Software Design, Knowledge Representation, Computational Social Science

Industry

Software Development

Description

Charles River Analytics, a GRVTY company, creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Now as part of GRVTY, we offer the same trusted capabilities with increased organizational depth and expanded capacity across mission-critical national security domains. Are you ready to accelerate our mission-focused innovations? We’d love to hear from you! This summer, we are looking for enthusiastic Software Engineering Interns for our Human-Centered AI division. We are seeking students with an interest in learning about and a successful academic background in the following areas: software engineering, computer science, machine learning, artificial intelligence, or applied mathematics. Our interns work on real projects and cutting-edge technology. We believe strongly in promoting within, which is demonstrated by the fact that we not only have hired former interns, but that several of our senior-level staff began their careers at Charles River as interns! You will use a variety of technologies such as machine learning, probabilistic modeling, cybersecurity, data analytics, knowledge representation, natural language processing, computational social science, and search and optimization. During your time at Charles River, you will work in small project-oriented groups of scientists and software engineers to build working prototypes in Human-Centered AI. What You Need: U.S. Citizenship Currently pursuing a graduate-level degree (M.S., PhD) in Computer Science or similar Proven proficiency in Python and a solid background in designing, programming, and documenting complex software systems Demonstrated ability to rapidly learn new programming languages, technologies, and programming tools Candidates should have demonstrated the capability to work independently as well as effectively within a team environment Additional Skills: Algorithms (artificial intelligence, optimization, machine learning) Natural language processing Probabilistic modeling and reasoning (e.g., Bayesian networks) Cyber security Data analytics Salary Range $20.00 - $30.00 per hour The above salary range is an estimate based on the internal job level(s) for which this role is being considered. The final salary will be decided after careful evaluation of the individual's work experience, education, and overall qualifications. This range does not include the substantial total rewards, as listed below, that you will also be eligible for as an employee owner at Charles River Analytics. Benefits: Charles River Analytics offers an attractive benefits package that includes, but is not limited to the following: Casual work environment Free snacks and beverages Eligible for medical plan enrollment or opt-out incentive Paid sick/excused time Free onsite parking and easily accessible by public transportation (the MBTA) Internship Activities: Interns at Charles River Analytics can participate in activities such as: Intern challenge problems Seminars Company-wide outings

Responsibilities

Work in small project-oriented groups of scientists and engineers to build working prototypes in Human-Centered AI. Utilize technologies such as probabilistic modeling, NLP, and data analytics to solve complex problems.