apella - Senior Machine Learning Engineer, Computer Vision
Requirements
• Experience with designing and building tooling around annotation / curation / management of ML datasets. • Proficiency in handling real-world, high volume and velocity datasets, particularly familiarity with image and video formats. • Proficiency in using AI tools and techniques to expedite product development. • Passion for writing readable, tested, and efficient code in collaboration with other engineers. • 5+ years of experience working with machine learning systems, covering the full production workflow and monitoring. • A strong commitment to craftsmanship and producing high-quality work. • Familiarity with developing SaaS products for business customers. • Experience working in healthcare or other regulated industries. • Hands on experience with video ML inference • WHAT TO EXPECT FROM OUR INTERVIEW PROCESS: • 1. Chat with Our Recruiter – A quick intro to get to know you and share more about Apella & the role. • 2. Meet with the Hiring Manager – Discuss your experience and work through a relevant case or technical exercise). • 3. Virtual Onsite Interviews – Meet a few team members and dive into areas like collaboration, culture, MLE coding skills, and system design. Typically 3-4 interviews. • Apella is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We encourage people from all backgrounds to apply to our roles.
Responsibilities
• Collaborate closely with engineering, product, and data science teams to understand business challenges and the potential for machine learning and AI solutions. • Develop tools and automate manual processes to improve operational efficiency, accelerate experimentation velocity, and minimize human error. • Build, integrate, and monitor the end-to-end lifecycles of large-scale, distributed machine learning systems. • Investigate model performance and identify data quality and performance issues.
Benefits
• $175K – $225K • Offers Equity • Actual compensation depends on experience and qualifications. We believe in fair compensation and strive to provide a competitive package, including benefits and growth opportunities. • We assess final compensation throughout the interview process, taking into account your experience, skills, and alignment with the role’s requirements. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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