{"id":3345025,"url":"https://alion.io/job/simplisafe-sr-machine-learning-engineer","title":"Sr Machine Learning Engineer","company":{"id":5386,"name":"SimpliSafe","domain":"simplisafe.com","url":"https://alion.io/company/simplisafe","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152900,"max":203800,"currency":"USD","period":"year","gross":null,"usd_annual":203800},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Hadoop","optional":true},{"name":"IAM","optional":true},{"name":"LLM","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Ray","optional":true},{"name":"Spark","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-10-27T15:54:16Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T13:52:52Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About SimpliSafe\nWe’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.\nWe’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday - working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.\nWhy are we hiring?\nWell, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. \nAbout the Role \nWe are looking for an experienced ML Infrastructure/MLOps Engineer to join our team as a Senior Machine Learning Engineer. In this role, you will drive the development and deployment of machine learning models, optimize ML workflows, and help ensure our infrastructure is scalable, reliable, and secure. If you have a passion for automation, cloud technology, and delivering high-impact solutions, we'd love to hear from you. \nResponsibilities: \nLead the architecture, deployment, and optimization of scalable ML model serving systems for real-time and batch use cases. \nCollaborate with data scientists, engineers, and stakeholders to operationalize ML models. \nDevelop CI/CD pipelines for ML models enabling rapid, safe, and consistent model releases. \nDesign, implement, and own comprehensive production monitoring for ML models/systems. \nManage cloud infrastructure, primarily in AWS or other major public clouds, to support ML workloads. \nDrive best practices in model versioning, observability, reproducibility, and deployment reliability \nServe in an on-call rotation as a first responder for software owned by your team.\nQualifications \n5+ years of experience in software engineering, data engineering, or a related field, with at least 3 years focused on MLOps or ML infrastructure. \nDeep hands-on experience with AWS or similar public clouds, including compute, networking, container orchestration, and observability stacks. \nHands-on experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, Cloud Formation). \nProficiency in programming languages like Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch). \nSolid understanding of ML lifecycle management, including experiment tracking, versioning, and monitoring. \nStrong communication skills for partnering with cross-functional technical and non-technical teams. \nNice to Have \nExperience with Ray for inference, or pipeline orchestration \nHands-on experience with deploying large language models (LLMs) to production.\nExperience with frameworks such as vLLM is a plus. \nExperience with distributed systems and big data technologies (e.g., Spark, Hadoop).\nExperience with event-driven or streaming architectures (e.g., Kafka, Kinesis).\nKnowledge of cloud security, IAM, and compliance best practices for ML workloads.\nLLM application development, including prompt engineering and evaluation.\nWhat Values You’ll Share\nCustomer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.\nAim High - Always challenging ourselves and others to raise the bar.\nNo Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.\nOne Team - Taking a highly collaborative approach to achieving success.\nLift As We Climb - Investing in developing others and helping others around us succeed.\nLean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.\nWhat We Offer\nA mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive \nA comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)\nFree SimpliSafe system and professional monitoring for your home. \nEmployee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.\nThe target annual base pay range for this role is $152,900 - $203,800\nThis target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. \nBeyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.\nWe’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.\nWe wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact .","description_format":"text","description_chars":6422,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Smart Home Devices","Locks, Safes & Home Security Products","Access Control & Alarm Systems"],"lifecycle":[{"event":"open","at":"2026-10-27T16:54:13Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 8 · green card filings: 6","filings_12m":8,"filings_prev_12m":17,"green_card_filings_12m":6,"median_offered_wage_usd":141071,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":6}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":73,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":203800,"is_top_pay":true},"html_url":"https://alion.io/job/simplisafe-sr-machine-learning-engineer","json_url":"https://alion.io/job/simplisafe-sr-machine-learning-engineer.json","meta":{"generated_at":"2026-11-01T15:21:48Z","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":23478,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":5386},"rest":"https://alion.io/mcp/rest/get_company?id=5386"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsimplisafe-sr-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%2Fsimplisafe-sr-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%2Fsimplisafe-sr-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/simplisafe-sr-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsimplisafe-sr-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3345025}},{"tool":"search_jobs","arguments":{"company":"simplisafe.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3345025},"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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