1089 C Machine Learning Robotics jobs in Cambridge,MA

Mechanical skills - Looking for Junior, Mid-Level and Experienced Mechanics.
Experience operating heavy equipment, similar to bull dozer, excavator and skid steers etc
Shoveling, heavy lifting, digging
Ability to work with a team
Work performed throughout the day and night, often done 1st thing in the morning and around 5pm
Outdoors/Indoors Environment can be loud
Assist snowmaking and other departments
Assorted other tasks, including but not limited to general maintenance, assist other departments, building etc
Helping with what is needed around the business
Safety is paramount

WestRock

Acton, MA 01720

EE Degree, or equivalent in work experience and/or training
Three or more years' experience working with large industrial equipment troubleshooting automation/robotics or related ﬁeld.
Microsoft Office and JDE or similar
Strong overall electrical knowledge and experience with electrical and industrial control systems.
Excellent communication skills and effective team-building skills a must. Mentorship and willingness to help train your teammates is valued.
Experience in corrugated packaging or similar high volume, no redundancy manufacturing environment
The ability to reference equipment manuals & similar literature.
Master level ability to reference equipment manuals & literature
Strong CMMS Knowledge
Strong Computer Skills
Strong understanding of 5S
Provide leadership and, or training to one or two other automation technicians.
Willingness to complete any maintenance work if workload permits
May operate forklifts, hoists, and other heavy equipment
A strong understanding of PLC, VFD and HMI/OIT software, previous and current versions.
Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.

SharkNinja

Needham, MA 02492

Amazon.com Services LLC

North Reading, MA 01864

3+ years of engineering team management experience
7+ years of working directly within engineering teams experience
Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
Experience partnering with product or program management teams
Theoretical knowledge and practical experience in autonomous navigation or related scientific domain