{"id":2469157,"url":"https://alion.io/job/src-inc-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":2417477,"name":"SRC, Inc.","domain":"srcinc.com","url":"https://alion.io/company/srcinc","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jobvite","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fairborn, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":93000,"max":116000,"currency":"USD","period":"year","gross":null,"usd_annual":116000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"DeepSpeed","optional":false},{"name":"DPO","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"FSDP","optional":false},{"name":"GRPO","optional":false},{"name":"Hugging Face","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubeflow","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Ollama","optional":false},{"name":"ONNX","optional":false},{"name":"PEFT","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorRT","optional":false},{"name":"TGI","optional":false},{"name":"Transformers","optional":false},{"name":"TRL","optional":false},{"name":"vLLM","optional":false}],"status":"live","first_seen_at":"2026-10-13T19:30:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T12:37:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"SRC, Inc. is currently seeking a Senior AI/ML Engineer to lead the technical execution of machine learning and generative AI efforts supporting ISR, EW, advanced sensing, and decision science missions. This role owns problems, not tickets. You will take ambiguous mission needs, identify the technical approach, build the datasets and models that address it, produce defensible evidence that the result works, then guide it toward transition into a program. The work ranges across classical ML, deep learning, reinforcement learning, and the generative AI stack, and it demands judgment about which of those is the right tool for a given problem. You will lead tasks of moderate scope, guide the technical efforts of less experienced engineers, contribute to proposals and customer-facing technical material, and set the standard for experimental rigor on the team. The successful candidate is someone who has shipped models into use, has seen the gap between benchmark performance and field performance, and knows how to close it.\nWhat You’ll Do\nLead the technical approach for AI/ML tasks of moderate scope, from problem formulation and data strategy through model development, evaluation, and transition\nDesign dataset strategies for domains where labeled data is scarce or expensive, including synthetic data generation, simulation-to-real transfer, active learning, and weak supervision\nOwn model development end to end: architecture and method selection, training, fine-tuning, distributed training where warranted, hyperparameter strategy, and error analysis\nBuild evaluation methodology using task-grounded metrics, statistically sound comparisons, ablations, adversarial and out-of-distribution test sets, and honest characterization of failure modes\nLead generative AI efforts including model selection across open-weight and commercial options, supervised and preference-based fine-tuning (SFT, DPO, GRPO), RAG architecture, agentic and tool-using systems, and guardrail design\nApply reinforcement learning where it fits the problem, and be able to articulate when it doesn't\nDrive model efficiency and deployment readiness: quantization, distillation, pruning, export and runtime optimization, and the compute/latency/accuracy tradeoffs that govern fieldable systems\nEstablish and enforce reproducibility practices through experiment tracking, data and model versioning, containerized environments, and CI for ML code\nGuide the technical and research efforts of less experienced engineers; review their work, develop their judgment, and raise the technical rigor of the team\nContribute to proposals, white papers, and internal R&D pitches, and assist in presenting findings and recommendations to customers\nPartner with algorithm engineers, software engineers, and program staff to migrate models from research code into real-time and embedded applications\nIdentify technical risks early and propose alternative approaches before a program discovers them\nWhat You’ll Bring\nBachelor's degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical discipline, plus 4+ years of relevant experience; or a Master's degree plus 2+ years\nDemonstrated record of taking ML systems from concept to working capability, not just prototype notebooks\nStrong proficiency in Python and deep expertise in PyTorch (or equivalent), including custom training loops, datasets/dataloaders, mixed precision, and profiling\nPractical experience with the modern LLM toolchain: Hugging Face Transformers, PEFT, TRL or equivalent, and serving/inference frameworks such as vLLM, TGI, or Ollama\nSubstantive experience with at least one of: generative AI and LLM fine-tuning, deep learning for perception or signal domains, or reinforcement learning\nRigorous approach to evaluation and the statistical literacy to back it up - confidence intervals, significance, and the difference between a real improvement and noise\nExperience mentoring or technically leading other engineers\nAbility to explain technical work and its limitations to program managers, customers, and executives\nExcellent written and verbal communication\nWays to Stand Out\nExperience with distributed training (FSDP, DeepSpeed, Ray) and large-scale data pipelines\nDeployment of models to constrained or edge environments: ONNX, TensorRT, TorchScript, quantized inference, or embedded GPU/SoC targets\nMultimodal model work including vision-language models, RF/sensor-conditioned models, or cross-modal retrieval\nExperience applying ML to radar, SAR, RF, EO/IR, acoustic, or other sensor data, and familiarity with the phenomenology involved\nProduction MLOps experience: Kubeflow, MLflow model registry, feature stores, monitoring, and drift detection\nFamiliarity with DoD mission domains, technology transition pathways, and the realities of test and evaluation for autonomous or ML-enabled systems\nPublications, open-source contributions, or competition results demonstrating technical depth\nUnderstanding of AI assurance topics including model cards, red-teaming, uncertainty quantification, and responsible AI practice in a defense context\nActive DoD security clearance\nMS/PhD in a related technical discipline \nWhat Sets Us Apart?\nSRC, Inc., a not-for-profit research and development company, combines information, science, technology and ingenuity to solve “impossible” problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible®. When you join our team, you’ll be a part of something truly meaningful - helping to keep America and its allies safe and strong. You’ll collaborate with more than 1,400 engineers, scientists and professionals - with 20 percent of those employees who have served in the military - in a highly innovative, inclusive and equitable work environment. You’ll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support.\nTotal compensation for this role is market competitive. The anticipated salary range for this position based out of Dayton, OH is estimated at $93,000 to $116,000 annually. The actual salary will vary based on applicant’s experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options, for more details please visit our website.\nNon-Discrimination Statement\nIndividuals seeking employment are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or age, or status as a protected veteran or disability except as strictly required by applicable law. You are being given the opportunity to provide the following information in order to help us comply with federal and state record keeping, reporting, and other legal requirements, including requirements under Section 503 of the Rehabilitation Act, 29 U.S.C. 793, and the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA), 38 U.S.C. 4212.\nLearn more about SRC:\nAbout Us\nEmployee Benefits\nAwards & Recognition\nSecurity Clearance\nLocation\nFairborn,\nOhio\n\n Employment Type Full-Time Salaried\n Experience Required 4+ Years\n Education Required Bachelors Degree\n Security Clearance Requirement Must meet eligibility requirements\n Travel % 10","description_format":"text","description_chars":7491,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Military","Higher Education","Nonprofits & Foundations"],"lifecycle":[{"event":"open","at":"2026-10-13T19:30:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":8,"reasons":["conf:3","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":116000,"is_top_pay":false},"html_url":"https://alion.io/job/src-inc-senior-aiml-engineer","json_url":"https://alion.io/job/src-inc-senior-aiml-engineer.json","meta":{"generated_at":"2026-10-14T13:50:10Z","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":16941,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":2417477},"rest":"https://alion.io/mcp/rest/get_company?id=2417477"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsrc-inc-senior-aiml-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%2Fsrc-inc-senior-aiml-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%2Fsrc-inc-senior-aiml-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/src-inc-senior-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsrc-inc-senior-aiml-engineer"}]}