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Software Engineer, MLOps at Hop Labs. Location Information: United States - Remote. . Hop Labs works with organizations to build and deploy machine learning production systems at scale. Our clients range from startups to Fortune 10, and projects can vary widely – from greenfield LLM generative AI products to engineering support in the autonomous vehicle space to building bespoke, scalable experiment frameworks. We are a fully distributed company, working remotely across the United States. While our projects often involve Python, . PyTorch. , and AWS, we are always ready to use the right tool for the job. . Some quick facts about Hop Labs:. . 100% remote, primarily based in the U.S.. . 10-15 team members, depending on our project mix at any given time. . Exclusively focused on technical consulting around production-scale machine learning. . Results-oriented work environment with a lot of flexibility -- we value life outside of work. . For more information about the company and the team, please check out our . website. .. Please no staffing agencies/C2C. . We are unable to handle visa sponsorship or H1B transfers at this time.. BE AWARE OF SCAMS: Our team communicates with applicants only from a . workablemail.com. or . hoplabs.com. email address. Any similar email domains are fraudulent.. Requirements. We are looking to hire an . MLOps. Software Engineer. Titles can be arbitrary, but for us this means a software engineer who writes code, builds infrastructure, and implements machine learning algorithms. . You should consider yourself a good fit for this if. :. . You have experience . building and improving ML-powered systems. and an interest in developing your skills there – bonus points if you’re interested in LLMs, generative AI, or deep learning in general. . . You enjoy . solving hard technical problems at scale. , for real business impact.. . You’re comfortable . proposing end-to-end technical architectures. that balance modularity, scalability, operations, security, and cost.. . You understand that . clarity and simplicity -- in code and in communication. -- are worth striving for.. . You have . 5+ years of professional experience in software engineering. and are able to present as an expert in client-facing situations.. . As a distributed team, . some key qualities are particularly important. for all of us at Hop Labs:. . A strong . sense of ownership and initiative. : You take your task or issue seriously and proactively drive it start-to-finish.. . . Clear and consistent communication. : You can speak to lay people and engineers alike about issues, and keep teammates and clients informed on progress.. . . A collaborative mindset. : You approach your work as part of a larger team effort, and can take and give constructive feedback well.. . . Clear thinking and attention to detail. for complex projects: You are committed to a crisp understanding of what you’re doing and why, paired with careful planning and attention to details.. . Comfort with . operating independently as well as part of a small, targeted team. : You are flexible in working successfully in either context, in a fully remote environment.. . What we’re looking for . specifically for this role. :. . Experience with . construction and design of the entire ML pipeline. , including training, deployment, and hosting in a production environment, using engineering best practices (e.g., unit testing, monitoring, logging). . Fluency in the . Python ML/data science stack. (e.g., PyTorch, Scikit-Learn, Pandas). . Proficiency in . cloud engineering. (AWS/Azure/GCP) and . infrastructure-as-code. (e.g., Terraform or equivalent). . Proficiency with . ETL. /data . pipelines. and data stores . . . Facility with web application technologies (e.g., FastAPI, UI development). . Open to all backgrounds, though deep learning/LLM background strongly preferred. . Residency in the U.S. or Canada, and authorization to work in the U.S. is required.. If this role sounds like a good fit for you, please apply! We’ve made an effort to create a hiring process that is low-pressure, skills-focused, and compatible with the other commitments in your life.. Benefits. For our employees, we offer:. . Medical, dental, and vision benefits. . Life and disability insurance. . Paid holidays and vacation time. . Flexible work schedules. . .