{"id":810189,"url":"https://alion.io/job/cthesigns-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":669831,"name":"C the Signs","domain":"cthesigns.com","url":"https://alion.io/company/cthesigns","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":144000,"max_usd":274000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Accelerate","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"TPU","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Python","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-04-28T00:00:00Z","employer_posted_date":"2026-04-28","last_verified_at":"2026-11-04T09:02:09Z","board_verified":true,"closed_at":null,"days_open":190,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":190},"description":"Position Summary\nThe Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data preprocessing, model training, and fine-tuning using large-scale healthcare datasets. This role requires a strong understanding of Large language models, machine learning principles, data engineering, and experience working with sensitive healthcare data.\nKey Responsibilities\n Data Preprocessing: Clean, transform, and prepare large, complex healthcare datasets for machine learning model development. This includes handling missing values, outlier detection, feature engineering, and data normalization. Identify, collect, and curate relevant, industry-specific datasets for model retraining. Format data appropriately for the chosen LLM and training pipeline\n Model Training & Fine-Tuning: Design, train, and fine-tune various LLMs on extensive healthcare data to solve specific clinical or operational problems. Set up and manage the training environment, including GPU instances and required software. Train and fine-tune pre-trained LLMs on the custom dataset to achieve specific goals. Experiment with and fine-tune hyperparameters such as learning rate, batch size, and training epochs to optimize model performance. Integration of structured + unstructured data (multi-modal/multi-input models)\n Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and implement optimization strategies.\n Pipeline Development: Develop and maintain robust and scalable data and ML pipelines for model training, inference, and deployment.\n Collaboration: Work closely with data scientists, clinicians, and software engineers to understand requirements, integrate models into production systems, and ensure data privacy and security compliance.\n Research & Development: Stay up-to-date with the latest advancements in machine learning and healthcare AI, and explore new technologies and methodologies to enhance our solutions.\n Documentation: Maintain clear and comprehensive documentation of models, data pipelines, and experimental results.\n Requirements\nEducation: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.\nExperience:\n5+ years of experience in Machine Learning Engineering or a similar role.\nProven experience with large-scale data preprocessing, LLM/model training, and fine-tuning.\nExperience with distributed training (PyTorch Distributed, DeepSpeed, Ray, Hugging Face Accelerate).\nExperience with GPU/TPU optimization, memory management for large language models.\nExperience working with healthcare data is highly desirable.\nTechnical Skills:\nProficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).\nStrong understanding of various machine learning algorithms,Large Language Models, and deep learning architectures.\nExperience with cloud platforms (e.g., GCP, AWS) and distributed computing frameworks (e.g., Spark) is a plus.\nFamiliarity with MLOps practices and tools.\nSoft Skills:\nExcellent problem-solving and analytical skills.\nStrong communication and collaboration abilities.\nAbility to work independently and as part of a team in a fast-paced environment.\nWork Authorization:\nMust be a US Citizen, Green Card holder, or currently in the US have valid H1B visa\nBenefits\nWhy Join Us?\nJoining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.\nBenefits:\n Competitive salary and benefits package.\n Flexible working arrangements (remote or hybrid options available).\n The opportunity to work on life-changing AI technology that directly impacts patient outcomes.\n Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.\n Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.","description_format":"text","description_chars":4197,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Flexible schedule"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Hospital Equipment & Furniture","Patient Access & Booking"],"lifecycle":[{"event":"open","at":"2026-09-12T10:06:40Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.207,"p_room":0.28,"age_days":190,"expected_fill_days":35,"reasons":["conf:4","win:tail","crowd:"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/cthesigns-senior-machine-learning-engineer","json_url":"https://alion.io/job/cthesigns-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-11-04T14:20:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21760,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":669831},"rest":"https://alion.io/mcp/rest/get_company?id=669831"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcthesigns-senior-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcthesigns-senior-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcthesigns-senior-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/cthesigns-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcthesigns-senior-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":810189}},{"tool":"search_jobs","arguments":{"company":"cthesigns.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":810189},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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