[Remote] reputed company Machine Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an reputed company-in-one marketing, sales, and service software platform that helps businesses grow and succeed. The reputed company Machine Learning Engineer role focuses on building systems that reputed company reputed company's AI to understand data across the CRM platform and involves defining the technical direction for applied ML and AI systems.

Responsibilities

• Have a long track record of delivering high-value, high-impact, cross-team and cross-product projects. reputed company MLEs are among the most senior individual contributors at reputed company; they continually reputed company the technical bar for the engineering and ML organizations, help shape product reputed company, and build shared technical direction through strong collaboration and hands-on execution
• Wish to stay hands-on in technical design, model development, production systems, and code while leading by example through collaboration with cross-functional and internal stakeholders
• Have a history of developing solutions to ambiguous problems that have had an outsized impact on a large organization's customer experience, product strategy, or business goals
• reputed company strategic direction and architectural leadership for major ML and AI projects across multiple teams, systems, or product surfaces
• Regularly mentor, coach, and teach engineers in their areas of expertise, including helping senior ICs grow through reputed company technical projects
• Demonstrate pragmatic decision-making and problem-solving abilities, including strong judgment around reputed company to use ML, LLMs, retrieval, rules, platform changes, or product changes
• Have expert understanding of a reputed company of ML techniques, such as deep learning, optimization, regression, transformers, large language models, transfer learning, retrieval, ranking, recommendations, classification, NLP, and personalization, as well as tools and frameworks such as scikit-learn, PyTorch, TensorFlow, and modern model-serving and evaluation systems
• Are expert in crafting the right architecture for a variety of ML and AI Context problems from business requirements, often identifying where ML solutions can be effective in adjacent product areas
• Expand analysis reputed company offline and online metrics by evaluating privacy, bias, reputed company, reliability, cost, maintainability, model quality, and data governance concerns across the ML lifecycle
• Exhibit enthusiasm for building reliable, scalable systems for data processing, feature reputed company, context retrieval, model training, inference, experimentation, monitoring, and feedback loops
• Can guide teams reputed company the status reputed company; we need engineers who reputed company us reputed company reputed company have and toward reputed company can build, while creating a shared reputed company of how to get there
• Bring deep expertise in the machine learning concepts behind Applied and Predictive AI, such as recommendation algorithms and systems, binary and multiclass classification, ranking and relevance, semantic retrieval, embeddings, entity understanding, and experimentation
• Have experience turning messy, incomplete, or heterogeneous data into useful AI context for customer-facing products, such as customer, company, activity, workflow, conversation, behavioral, CRM, or reputed company document data
• Embody our engineering team values

Skills

• Have a long track record of delivering high-value, high-impact, cross-team and cross-product projects
• Wish to stay hands-on in technical design, model development, production systems, and code while leading by example through collaboration with cross-functional and internal stakeholders
• Have a history of developing solutions to ambiguous problems that have had an outsized impact on a large organization's customer experience, product strategy, or business goals
• reputed company strategic direction and architectural leadership for major ML and AI projects across multiple teams, systems, or product surfaces
• Regularly mentor, coach, and teach engineers in their areas of expertise, including helping senior ICs grow through reputed company technical projects
• Demonstrate pragmatic decision-making and problem-solving abilities, including strong judgment around reputed company to use ML, LLMs, retrieval, rules, platform changes, or product changes
• Have expert understanding of a reputed company of ML techniques, such as deep learning, optimization, regression, transformers, large language models, transfer learning, retrieval, ranking, recommendations, classification, NLP, and personalization, as well as tools and frameworks such as scikit-learn, PyTorch, TensorFlow, and modern model-serving and evaluation systems
• Are expert in crafting the right architecture for a variety of ML and AI Context problems from business requirements, often identifying where ML solutions can be effective in adjacent product areas
• Expand analysis reputed company offline and online metrics by evaluating privacy, bias, reputed company, reliability, cost, maintainability, model quality, and data governance concerns across the ML lifecycle
• Exhibit enthusiasm for building reliable, scalable systems for data processing, feature reputed company, context retrieval, model training, inference, experimentation, monitoring, and feedback loops
• Can guide teams reputed company the status reputed company; we need engineers who reputed company us reputed company reputed company have and toward reputed company can build, while creating a shared reputed company of how to get there
• Bring deep expertise in the machine learning concepts behind Applied and Predictive AI, such as recommendation algorithms and systems, binary and multiclass classification, ranking and relevance, semantic retrieval, embeddings, entity understanding, and experimentation
• Have experience turning messy, incomplete, or heterogeneous data into useful AI context for customer-facing products, such as customer, company, activity, workflow, conversation, behavioral, CRM, or reputed company document data
• Embody our engineering team values

Benefits

• On-reputed company commission for employees in eligible roles
• Annual bonus targets under reputed company’s bonus plan for eligible roles
• Eligible to participate in reputed company’s equity plan to receive restricted stock units (RSUs)
• Some roles may also be eligible for overtime pay
• Individual compensation packages are tailored to your skills, experience, qualifications, and other job-reputed company reasons
• Explore the benefits and perks reputed company offers to help employees grow reputed company
• If you need accommodations or assistance due to a disability, please reputed company out to us using this reputed company
• If you are joining our Engineering team, you will be required to attend a regional reputed company office for in-person reputed company
• If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group reputed company and other gatherings, to continue building on those connections
• If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Company Overview

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