{"id":769020,"url":"https://alion.io/job/enchargeai-research-engineer-ai-models","title":"Research Engineer, AI Models","company":{"id":673158,"name":"EnCharge AI","domain":"enchargeai.com","url":"https://alion.io/company/enchargeai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":61,"open_postings":26,"ghost_share":0.654,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-31T05:58:55Z"}},"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":"explicit","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":84000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Diffusion Models","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LoRA","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Speculative Decoding","optional":false},{"name":"KV Cache","optional":true},{"name":"Mixture of Experts","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-06-26T15:15:47Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-31T21:14:15Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":126},"description":"Research Engineer, Applied AI \nLocation: Bangalore (or throughout India remote-friendly with travel) \nAbout EnCharge AI: \nEnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. \nThe Opportunity: \nModern AI workloads-from large language models to diffusion-based generators to multimodal systems-represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. \nWe are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization-ensuring our models run beautifully on our silicon. \nThis is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code-all in service of making AI inference faster, cheaper, and better. \nKey Responsibilities: \nAlgorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference-quantization, sparsity, distillation, speculative decoding, caching strategies, and architectural modifications. Systematically characterize tradeoffs between model quality, latency, throughput, and power consumption to find optimal operating points across different use cases. \nHardware Co-Design: Partner closely with hardware, compiler, and quantization teams to ensure algorithmic improvements translate to real gains on our silicon. Identify optimizations aligned with our architecture's strengths-maximizing throughput while minimizing power. Shape the feedback loop between model development and hardware. \nEvaluation: Build profiling tools and comprehensive benchmarking frameworks to understand compute bottlenecks, measure model quality across standard and domain-specific evals, and track efficiency metrics. \nApplied Research: Build robust fine-tuning workflows for modern AI models, enabling rapid experimentation with LoRA, adapters, and full fine-tuning. Stay current with the rapidly evolving landscape-evaluate new architectures, implement promising techniques, and contribute insights that inform technical and go-to-market strategy. \nQualifications: \n5+ years of experience in ML research, applied ML, or ML systems \nStrong fundamentals in Python and PyTorch \nHands-on experience with transformers, diffusion models, state space models etc. \nExperience fine-tuning large models and building training/evaluation pipelines \nDeep understanding of transformers, attention mechanisms, & optimization techniques \nComfort reading and implementing techniques from research papers \nNice to Have: \nExperience with efficient inference techniques (KV cache optimization, attention variants, MoE routing, flow matching) \nBackground in hardware-aware ML optimization or quantization \nFamiliarity with profiling tools (PyTorch Profiler, Nsight, custom instrumentation) \nPublications in generative modeling, efficient inference, or ML systems \nContributions to open-source ML projects","description_format":"text","description_chars":3774,"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":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-11T20:57:02Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.235,"p_room":0.28,"age_days":126,"expected_fill_days":35,"reasons":["conf:3","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/enchargeai-research-engineer-ai-models","json_url":"https://alion.io/job/enchargeai-research-engineer-ai-models.json","meta":{"generated_at":"2026-10-31T23:01:44Z","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":35922,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":673158},"rest":"https://alion.io/mcp/rest/get_company?id=673158"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fenchargeai-research-engineer-ai-models"},{"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%2Fenchargeai-research-engineer-ai-models"},{"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%2Fenchargeai-research-engineer-ai-models"},{"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/enchargeai-research-engineer-ai-models\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fenchargeai-research-engineer-ai-models"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":769020}},{"tool":"search_jobs","arguments":{"company":"enchargeai.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":769020},"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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