Position: Machine Learning Engineer III
Beware of fraudulent job offers and postings!
Technergetics will never extend an offer of employment without a thorough interview process involving face to face interviews either in-person or a virtual Teams meeting from an official Technergetics email address (@techngs.com). If you receive any correspondence from an email other than techngs.com, it is a scam. Pre-interview code testing is only administered through the Codility platform. We will not send out questionnaires or testing through any other platform/site prior to a first interview.
Opportunity Overview:
Do you want to be an originator throughout the software development process and join a young, hungry, expanding business? Is learning a life-long pursuit for you? Traditional corporate culture (no sea of office cubicles here) not really your thing? Then this may be the place for you. Our software engineers work with teammates both native to the Mohawk Valley and across the country to deliver cutting-edge products to our customers. As a Machine Learning Engineer III, you will work with peers and mentors to learn and evolve as a coder, task master, and leader. You will gain experience in emerging technologies including AI/ML, Cloud Platforms, and many more.
Position Details
Salary Range: $110,000-$150,000 a year. This is a full-time exempt position.
The development work can be performed at various locations including remotely, at the company offices in Utica and Rome, NY, or the Air Force Research Lab (AFRL) in Rome, NY. A 100% remote work arrangement is possible for the right candidate.
Due to the clearance required for this position, only U.S. citizens are eligible to apply; as outlined in Executive Order 12968: Access to Classified Information, eligibility for access to classified information may only be granted to employees who are United States citizens.
Responsibilities and Duties
The successful candidate will work in one or more of our Machine Learning (ML) Software products.
The candidate’s responsibilities and duties will include:
Education and Certifications:
Graduation from an accredited college or university with a master’s degree in computer science or related field and 6 years of professional experience is preferred; we will also consider candidates with a bachelor’s degree and 8+ years of professional experience. A degree in computer programming, software engineering, or a closely related technical field is required for many of our projects. We will consider candidates with associate degrees or certificates in the areas listed above in combination with experience.
Required Qualifications:
Preferred Qualifications:
Clearance:
Applicants selected will be subject to a security investigation and must meet and maintain eligibility requirements for, at minimum, Secret access to classified information.
Travel:
This position will require up to 5% travel.
Benefits:
Our benefits package includes health, life, disability, dental, and vision insurance coverage and a 401(k) policy with a 3% company contribution & 3% company match.
Other perks include generous Paid Time Off (including a PTO “gift day” for your birthday), 11 Federal Holidays per year, two weeks paid maternity/paternity leave, and annual technology “allowances”.
Wait! Even more perks include referral bonuses, professional recognition awards, healthcare stipends, tuition/education reimbursement (once certain requirements are met), and flexible daily start and stop times for most projects and positions.
Company Description
Technergetics is a US-based company headquartered in Utica, NY, with employees and clients located throughout the country. The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business & Technology Park’s tenants and facilities, including the Air Force Research Lab (AFRL). At Technergetics, we work with a wide variety of technologies, including mobile and web apps, Quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and many more.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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