{"id":7455,"url":"https://alion.io/job/cresta-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":34,"name":"Cresta","domain":"cresta.com","url":"https://alion.io/company/cresta-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":85,"ghost_share":0.2,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":150,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":209000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2024-10-23T18:00:05Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T14:21:49Z","board_verified":true,"closed_at":null,"days_open":728,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":728},"description":"Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. \nBorn from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.\nOver the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.\nAbout the role:\nMachine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.\nCurrent focus areas include:\nAgentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems.\n Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems.\nInsights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale.\nResponsibilities:\nLead the design and development of Cresta’s next-generation AI Agents and Agentic Assist systems, defining system architecture and core modeling approaches.\nArchitect intelligent, multi-step agent workflows that combine real-time guidance, knowledge retrieval, reasoning, summarization, and automated actions into cohesive production systems.\nDesign, deploy, and optimize LLM-powered systems, including Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration, and domain-adapted models.\nImprove reasoning, planning, and tool-use capabilities in real-world AI applications.\nDevelop evaluation strategies for complex, non-deterministic systems, including offline benchmarking, online experimentation, and LLM-as-a-judge methodologies.\nDiagnose and mitigate real-world failure modes such as hallucinations, retrieval errors, tool misuse, prompt brittleness, and multi-step reasoning breakdowns.\nDefine and measure quality metrics (e.g., accuracy, faithfulness, task completion, latency, cost, robustness) to improve system reliability and performance.\nOptimize AI systems for scalability, latency, security, and cost efficiency in production environments.\nCollaborate cross-functionally with product, frontend, and backend teams to integrate AI capabilities seamlessly into Cresta’s platform.\nMentor engineers, contribute to technical strategy, and help shape the roadmap for Cresta’s AI systems.\nQualifications We Value:\nBachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. preferred.\n5-8+ years of industry experience building and deploying machine learning systems in production, including significant experience working with LLMs.\nStrong expertise in NLP, Generative AI, transformer architectures, embeddings, and retrieval systems.\nProven experience designing and deploying Retrieval-Augmented Generation (RAG) systems in enterprise environments.\nExperience building and evaluating complex agentic or multi-step LLM workflows.\nStrong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.\nDemonstrated ability to optimize real-time ML systems for performance, scalability, and reliability.\nStrong technical leadership skills, with the ability to influence cross-functional decisions and raise the engineering bar.\nPerks & Benefits:\nWe offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs\nPaid parental leave to support you and your family\nMonthly Health & Wellness allowance\nWork from home office stipend to help you succeed in a remote environment\nLunch reimbursement for in-office employees \nPTO: 3 weeks in Canada \nCompensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.\nThis posting will be used to fill a newly-created role.\nOur use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact  (if you are opting out, please use the subject ‘Opt-Out’ in your email).\n\nRecording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed.\n\nRecruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. 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