{"id":3345024,"url":"https://alion.io/job/simplisafe-staff-machine-learning-engineer","title":"Staff 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":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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":183500,"max":244600,"currency":"USD","period":"year","gross":null,"usd_annual":244600},"salary_estimate":null,"experience_years_min":8,"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":"DVC","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Feast","optional":true},{"name":"Feature Store","optional":true},{"name":"Flyte","optional":true},{"name":"IAM","optional":true},{"name":"Kubeflow","optional":true}],"status":"live","first_seen_at":"2026-10-27T15:54:31Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T17:54:17Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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 a Staff Machine Learning Engineer to serve as the technical leader for our ML data and training platform. In this role, you will set the technical direction for how SimpliSafe prepares data, trains, fine-tunes, and tracks machine learning models, including large language models. You will own the architecture of our data and training infrastructure, drive multi-quarter initiatives across teams, and raise the engineering bar through design reviews, mentorship, and standards. If you want to shape how ML models get built at scale, we'd love to hear from you.\nResponsibilities:\nDefine and own the technical vision, architecture, and multi-quarter roadmap for SimpliSafe's ML data and training platform.\nArchitect and lead the delivery of scalable data and feature pipelines that produce reliable, versioned training datasets.\nBuild and evolve distributed training infrastructure for classical ML, deep learning, and LLM fine-tuning, including efficient GPU scheduling and utilization.\nOwn the experimentation stack, including experiment tracking, model registry, and dataset and model lineage, so that every model is reproducible.\nDevelop CI/CD and automation for training pipelines, enabling data scientists to go from idea to trained, validated model quickly and safely.\nPartner with data science, data engineering, product, and security leaders to align the platform with business priorities and turn ambiguous problems into clear, executable plans.\nSet org-wide standards and paved paths for data versioning, training reproducibility, and data governance, and drive their adoption across teams.\nLead build-vs-buy evaluations and make durable technology decisions on ML tooling, cloud services, and frameworks.\nDrive reliability and cost efficiency of training and data workloads in AWS, including capacity planning and compute and GPU cost optimization.\nMentor and grow senior and mid-level engineers through design reviews, code reviews, and technical coaching; act as a force multiplier for the team.\nParticipate in the team's on-call rotation for platform services the team owns, and lead postmortems for critical incidents.\nQualifications\n8+ years of experience in software engineering, data engineering, or a related field, with at least 4 years focused on ML infrastructure or MLOps.\nProven track record of technical leadership: designing and shipping ML training platforms, data platforms, or large-scale distributed systems end to end, and leading cross-team initiatives without direct authority.\nExpert-level experience with AWS or similar public clouds, including compute, storage, networking, and container orchestration.\nDeep experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).\nStrong proficiency in Python, and hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow).\nHands-on experience with distributed training and large-scale data processing (e.g., Ray, Spark, PyTorch Distributed).\nDeep understanding of experiment tracking, model registries, and data and model versioning (e.g., MLflow, Weights & Biases, DVC).\nExcellent written and verbal communication skills, including writing technical design docs and influencing senior technical and non-technical stakeholders.\nNice to Have\nExperience handling PII data\nExperience with workflow orchestration tools (e.g., Airflow, Kubeflow, Flyte, Step Functions).\nExperience with feature stores and data lakehouse technologies (e.g., Feast, SageMaker Feature Store, Delta Lake, Iceberg).\nExperience building pipelines for large unstructured datasets such as video, images, or audio, including labeling and curation workflows.\nExperience with event-driven or streaming data architectures (e.g., Kafka, Kinesis).\nKnowledge of cloud security, IAM, data privacy, and compliance best practices for ML data and workloads.\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 $183,500 - $244,600\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":7884,"description_truncated":false,"requirements":{"experience_years_min":8,"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":1,"expected_fill_days":73,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":244600,"is_top_pay":false},"html_url":"https://alion.io/job/simplisafe-staff-machine-learning-engineer","json_url":"https://alion.io/job/simplisafe-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-10-29T19:58:16Z","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":29713,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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-staff-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-staff-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-staff-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-staff-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsimplisafe-staff-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3345024}},{"tool":"search_jobs","arguments":{"company":"simplisafe.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3345024},"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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