Senior ML Engineer

Job not on LinkedIn

🕒 September 19

🗽 New York, Ohio – Remote

🗽 New York – Remote 🏈 Ohio – Remote

⏳ Contract/Temporary

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Workana

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

👥 HR Tech

🏪 Marketplace

🎯 Recruiter

💰 Series C on 2024-02

HR Tech • Marketplace • Recruitment

Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.

📋 Description

• Own the architecture and implementation of production-grade ML systems and workflows. • Transition models from development and research into scalable production services. • Design and build reliable training, inference, evaluation, and deployment pipelines. • Integrate ML models into APIs, backend services, applications, and core product workflows. • Optimize ML systems for latency, throughput, scalability, reliability, and cost-efficiency. • Establish engineering standards for model versioning, testing, observability, and deployment. • Collaborate closely with domain experts, data scientists, and cross-functional teams. • Diagnose and resolve technical bottlenecks across the ML application stack.

🎯 Requirements

• Proven track record as a Senior Machine Learning Engineer with strong software engineering fundamentals. • Strong industry and domain knowledge within life sciences, biotech, or scientific datasets. • Advanced proficiency in Python and modern ML/software engineering practices. • Demonstrated experience deploying, scaling, and operating ML models in production environments. • Deep understanding of model inference, system design, microservices, and cloud-native workflows. • Strong collaborative mindset, excellent problem-solving ability, and a positive, proactive attitude. • Fluent English is mandatory, as the role involves daily interaction with U.S.-based stakeholders. • Must be based in the United States, with preference given to candidates who can work hybrid in Indianapolis, IN or travel to Indianapolis periodically.

🏖️ Benefits

• Competitive salary with travel expenses covered when travel is required. • Flexible work arrangements (Hybrid in Indianapolis, IN, or Fully Remote within the U.S. East Coast with occasional travel). • Dynamic career growth with innovative, high-impact enterprise projects. • Long-term independent contractor agreement.

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