Machine Learning Engineer 2-Sensors and Communication

Overview:

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

Job Description Summary:

The Machine Learning Engineer 2 designs and implements machine learning (ML), digital signal processing, and data science tools to enhance sensor sensitivity and performance. They apply these skills to a diverse, range of hardware projects spanning multiple sensing modalities.

Job Description:

Duties/Responsibilities
• Designs and develops AI models to meet project requirements with some guidance for senior team members.
• Analyzes and improves AI model performance with some assistance as needed.
• Applies ML and deep learning technologies to give computers the capability to visualize, learn, and respond to complex situations.
• Collaborates across departments and with customers to define requirements and understand business problems.
• Reliably performs independent and team based research with a demonstrated ability to develop innovative solutions to problems.
• Collaborates across organizational boundaries and outside area of expertise to achieve goals. Delivers on commitments and clearly communicates any challenges.
• Initiates/participates in frequent, pertinent communication relating to their programs and tasks. Strives to be inclusive in communication.
• Recognizes when process/practice improvements should be made and works to bring them forward
• Performs other duties as assigned.

Skills/Abilities
• Excellent analytical, mathematical, and problem-solving skills.
• Strong ML/AI software development skills (Python, MATLAB, R, C++, JAVA) including software best practices like version control (git).
• Team player.
• Excellent organizational skills and attention to detail.
• Excellent time management skills with the proven ability to meet deadlines and prioritize tasks.
• Excellent verbal and written communication skills.

Education
Bachelor's Degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required. Master's degree preferred.

Experience
3-5 years machine learning or artificial intelligence or related experience is required.

Additional Job Description:

Applicants selected for this position will be required to obtain and maintain a US government security clearance.

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Job Location - City:

Cambridge

Job Location - State:

Massachusetts

Job Location - Postal Code:

02139-3563

The US base salary range for this full-time position is

$75,000.00 - $156,000.00

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.  Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D in