Jobs Companies CoVar Machine Learning Engineer

Über diese Machine Learning Engineer Stelle bei CoVar

CoVar · Durham, NC

Machine Learning Engineer

About CoVar

CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.

About this position

You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.

Qualifications

Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.

Minimum qualifications

  • Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
  • AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
  • B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
  • Excellent technical communication skills
  • Ability to work in Durham, NC (relocation assistance available)
  • Eligibility for US security clearance (US citizenship is required)

Bonus skills

  • Department of Defense project experience
  • Active US security clearance (secret or higher)

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Parental leave
  • Short-term and long-term disability insurance
  • Life insurance
  • Flexible work schedule
  • Tuition support
  • PTO and paid holidays

Visit us: www.covar.com

Bereit, sich bei CoVar zu bewerben?
Bei CoVar bewerben

Über CoVar

Work with us! Below are our current openings.

CoVar is a small AI/ML R&D software company with offices in both Durham, NC and McLean, VA, that uses artificial intelligence to solve problems that matter. We develop AI/ML software tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world. We partner and collaborate closely with several premier government R&D agencies (e.g. DoD, DARPA, NIH) and commercial partners to develop and deliver state-of-the-art AI/ML algorithms and end-to-end software products.

Alle Jobs bei CoVar ansehen →

Ähnliche Jobs

Figma
Software Engineer, Machine Learning
Figma
⚡ Früh bewerben San Francisco, CA • New York,... Vor Ort $153,000–$376,000
● Neu 👁 Gesehen ✓ Beworben vor 42 Min.
Vibe
Senior Machine Learning Engineer - Identity & Audience
Vibe
⚡ Früh bewerben Paris Remote
● Neu 👁 Gesehen ✓ Beworben vor 5 Std.
Paraform
Applied ML Engineer
Paraform
⚡ Früh bewerben San Francisco Vor Ort $190,000–$320,000
● Neu 👁 Gesehen ✓ Beworben vor 5 Std.
Redwood Materials
Software Engineer - ML/Computer Vision (Battery Sorting)
Redwood Materials
⚡ Früh bewerben McCarran, NV; San Francisco, C... Vor Ort $152,500–$287,500
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
Stitch Fix
ML Platform Engineer
Stitch Fix
⚡ Früh bewerben Remote, USA · standortgebunden $136,000–$167,000
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
Roblox
Distinguished Machine Learning Engineer - Safety
Roblox
⚡ Früh bewerben San Mateo, CA, United States Vor Ort $399,420–$457,970
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
Roblox
Distinguished Engineer, Machine Learning Systems – Economy
Roblox
⚡ Früh bewerben San Mateo, CA, United States Vor Ort $397,460–$455,720
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
Roblox
Senior Machine Learning Engineer, User Behavior
Roblox
⚡ Früh bewerben San Mateo, CA, United States Vor Ort $196,750–$243,290
● Neu 👁 Gesehen ✓ Beworben vor 7 Std.
Coupang
Staff ML Infra Engineer, Search & Discovery
Coupang
⚡ Früh bewerben Mountain View, USA Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 9 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei CoVar

Alle Jobs bei CoVar ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos